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Neotic

REMOTE · WWW.NEOTIC.APP

AI agents create contextual in-app experiences, announcements, and triggers with Neotic.

Available components

0 this week 25 Trust /100

Last scanned (14 hours ago)

Scores higher than 10% of remote servers

Reachable. Last reached 5 Nov 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security63
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Tool Safety0
  • Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Capabilities0
  • Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified

Unverified: 5 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 8 Oct 26 −45
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Tool safety: pass → unverified ▼ security
    • Stability: 0.50 → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. security
    • Schema quality: 100 → unverified ▼ functional
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
  • 5 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 22 Sept 26 0
    • Schema quality: 9679 → 10745 ▼ functional
    • New tool “cognitive.compile_invariant_lattice” functional
    • New tool “cognitive.compute_lattice_signature” functional
    • New tool “cognitive.crucible_stress_test” functional
    • New tool “cognitive.induce_morphic_transfer” functional
    • New tool “cognitive.project_to_manifold” functional
    • New tool “cognitive.refine_lattice_from_feedback” functional
    • New tool “cognitive.synthesize_singular_path” functional
    • New tool “cognitive.verify_lattice_transition” functional
    • New tool “cognitive_compile_invariant_lattice” functional
    • New tool “cognitive_compute_lattice_signature” functional
    • New tool “cognitive_crucible_stress_test” functional
    • New tool “cognitive_induce_morphic_transfer” functional
    • New tool “cognitive_project_to_manifold” functional
    • New tool “cognitive_refine_lattice_from_feedback” functional
    • New tool “cognitive_synthesize_singular_path” functional
    • New tool “cognitive_verify_lattice_transition” functional
  • 21 Sept 26 0
    • Tool “cognitive.execute_task” rewrote its description, which is the text the model reads security
    • Tool “cognitive.parse_task” rewrote its description, which is the text the model reads security
    • Tool “cognitive_execute_task” rewrote its description, which is the text the model reads security
    • Tool “cognitive_parse_task” rewrote its description, which is the text the model reads security
    • Schema quality: 94 → 77 ▲ functional
    • Stability: unverified → 0.03 ▲ functional
    • Schema quality: good → fair functional
    • New tool “cognitive.allocate_compute” functional
    • New tool “cognitive.analogical_transfer” functional
    • New tool “cognitive.analyze_communication” functional
    • New tool “cognitive.arbitrate_temporal_objectives” functional
    • New tool “cognitive.assess_competence” functional
    • New tool “cognitive.audit_evidence_graph” functional
    • New tool “cognitive.build_evidence_graph” functional
    • New tool “cognitive.causal_analysis” functional
    • New tool “cognitive.compose_strategies” functional
    • New tool “cognitive.compute_intrinsic_rewards” functional
    • New tool “cognitive.compute_number_theory” functional
    • New tool “cognitive.counterfactual_what_if” functional
    • New tool “cognitive.create_simulated_environment” functional
    • New tool “cognitive.evaluate_claim_evidence” functional
    • New tool “cognitive.evaluate_cooperation” functional
    • New tool “cognitive.evaluate_counterfactual_query” functional
    • New tool “cognitive.evaluate_generalization_benchmarks” functional
    • New tool “cognitive.few_shot_induce” functional
    • New tool “cognitive.generate_and_prioritize_goals” functional
    • New tool “cognitive.get_final_evidence_result” functional
    • New tool “cognitive.ground_language” functional
    • New tool “cognitive.hierarchical_plan” functional
    • New tool “cognitive.infer” functional
    • New tool “cognitive.infer_human_values” functional
    • New tool “cognitive.inspect_lexicon” functional
    • New tool “cognitive.inspect_self_model” functional
    • New tool “cognitive.learn_from_mistake” functional
    • New tool “cognitive.learn_language_interaction” functional
    • New tool “cognitive.learn_world_model” functional
    • New tool “cognitive.matrix_algebra” functional
    • New tool “cognitive.monitor_reasoning” functional
    • New tool “cognitive.plan_with_counterfactuals” functional
    • New tool “cognitive.predict_world_state” functional
    • New tool “cognitive.resolve_intent” functional
    • New tool “cognitive.run_closed_loop_agent” functional
    • New tool “cognitive.run_multi_agent_simulation” functional
    • New tool “cognitive.safe_self_improve” functional
    • New tool “cognitive.simulate_actions” functional
    • New tool “cognitive.solve_arithmetic” functional
    • New tool “cognitive.solve_equation_system” functional
    • New tool “cognitive.solve_word_problem” functional
    • New tool “cognitive.step_simulated_environment” functional
    • New tool “cognitive.synthesize_program” functional
    • New tool “cognitive.theory_of_mind” functional
    • New tool “cognitive.tree_search” functional
    • New tool “cognitive.verify_arithmetic_claim” functional
    • New tool “cognitive.verify_ethics_and_norms” functional
    • New tool “cognitive_allocate_compute” functional
    • New tool “cognitive_analogical_transfer” functional
    • New tool “cognitive_analyze_communication” functional
    • New tool “cognitive_arbitrate_temporal_objectives” functional
    • New tool “cognitive_assess_competence” functional
    • New tool “cognitive_audit_evidence_graph” functional
    • New tool “cognitive_build_evidence_graph” functional
    • New tool “cognitive_causal_analysis” functional
    • New tool “cognitive_compose_strategies” functional
    • New tool “cognitive_compute_intrinsic_rewards” functional
    • New tool “cognitive_compute_number_theory” functional
    • New tool “cognitive_counterfactual_what_if” functional
    • New tool “cognitive_create_simulated_environment” functional
    • New tool “cognitive_evaluate_claim_evidence” functional
    • New tool “cognitive_evaluate_cooperation” functional
    • New tool “cognitive_evaluate_counterfactual_query” functional
    • New tool “cognitive_evaluate_generalization_benchmarks” functional
    • New tool “cognitive_few_shot_induce” functional
    • New tool “cognitive_generate_and_prioritize_goals” functional
    • New tool “cognitive_get_final_evidence_result” functional
    • New tool “cognitive_ground_language” functional
    • New tool “cognitive_hierarchical_plan” functional
    • New tool “cognitive_infer” functional
    • New tool “cognitive_infer_human_values” functional
    • New tool “cognitive_inspect_lexicon” functional
    • New tool “cognitive_inspect_self_model” functional
    • New tool “cognitive_learn_from_mistake” functional
    • New tool “cognitive_learn_language_interaction” functional
    • New tool “cognitive_learn_world_model” functional
    • New tool “cognitive_matrix_algebra” functional
    • New tool “cognitive_monitor_reasoning” functional
    • New tool “cognitive_plan_with_counterfactuals” functional
    • New tool “cognitive_predict_world_state” functional
    • New tool “cognitive_resolve_intent” functional
    • New tool “cognitive_run_closed_loop_agent” functional
    • New tool “cognitive_run_multi_agent_simulation” functional
    • New tool “cognitive_safe_self_improve” functional
    • New tool “cognitive_simulate_actions” functional
    • New tool “cognitive_solve_arithmetic” functional
    • New tool “cognitive_solve_equation_system” functional
    • New tool “cognitive_solve_word_problem” functional
    • New tool “cognitive_step_simulated_environment” functional
    • New tool “cognitive_synthesize_program” functional
    • New tool “cognitive_theory_of_mind” functional
    • New tool “cognitive_tree_search” functional
    • New tool “cognitive_verify_arithmetic_claim” functional
    • New tool “cognitive_verify_ethics_and_norms” functional
    • “cognitive.parse_task” added an optional parameter “description” cosmetic
    • “cognitive.parse_task” added an optional parameter “prompt” cosmetic
    • “cognitive.parse_task” added an optional parameter “task_text” cosmetic
    • “cognitive_parse_task” added an optional parameter “description” cosmetic
    • “cognitive_parse_task” added an optional parameter “prompt” cosmetic
    • “cognitive_parse_task” added an optional parameter “task_text” cosmetic
    • “cognitive.execute_task” made “task” optional cosmetic
    • “cognitive.identify_task” made “task_structure” optional cosmetic
    • “cognitive.parse_task” made “text” optional cosmetic
    • “cognitive.solve_and_compare” made “task” optional cosmetic
    • “cognitive_execute_task” made “task” optional cosmetic
    • “cognitive_identify_task” made “task_structure” optional cosmetic
    • “cognitive_parse_task” made “text” optional cosmetic
    • “cognitive_solve_and_compare” made “task” optional cosmetic
  • 20 Sept 26 0
    • Injection markers: unverified → pass ▲ security
    • Transport: fail → pass ▲ security
    • First check of Judged manipulation: pass security
    • Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 30 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
    • Tool coverage: unverified → 100 ▲ functional
    • Schema quality: unverified → 100 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • First check of Tool coverage: 0 functional
    • First check of Schema quality: fail functional
    • First check of Destructive annotations: 0 functional
    • First check of Schema quality: pass functional
    • First check of Schema quality: good functional
    • First check of Tool coverage: 100 functional
  • 13 Sept 26 0
    • Transport: unverified → fail ▼ security
    • Authorization: pass → unverified ▼ security
    • Tool safety: Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list. security
    • Tool coverage: Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list. functional
    • Capabilities: Capabilities not yet verified: we couldn't read the endpoint's capabilities. functional
    • Schema quality: Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list. functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://www.neotic.app/api/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=neotic.app CN=WE1,O=Google Trust Services,C=US 22 Oct 2026 20 Jan 2027 ECDSA 256 ECDSA-SHA256 1fbaf7657967fa2b0e6ae8a5fc134692
SANs: neotic.app, *.neotic.app
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of www.neotic.app. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
neotic.app. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Inconclusive

We could not reach the endpoint well enough to judge its authorisation posture.

Result Inconclusive
HTTP status 404
Header Value
strict-transport-security max-age=63072000

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://www.neotic.app/api/mcp HTTP error 404
http (plaintext) http://www.neotic.app/api/mcp HTTPS enforced 301 https://www.neotic.app/api/mcp
MCP tools · 140 exposed · ~10,691 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
cognitive_allocate_compute ~47

Adaptive compute budgeting: select compute tier (Fast Path to Deep Deliberation) and timeout based on EVC.

NameTypeReqDescription
stakesstring––
task_structureobjectyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_analogical_transfer ~52

Transfer structural strategies across disparate domains via Structure-Mapping Engine (SME).

NameTypeReqDescription
source_task_structure_idstringyes–
strategy_id–––
target_task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_analyze_communication ~89

Pragmatic communication: audit speech acts against Gricean maxims (Quality, Quantity, Relation, Manner) and detect deception.

NameTypeReqDescription
act_typestring––
claims–––
contentstringyes–
context_goals–––
recipient_idstring––
sender_idstring––
speaker_beliefs–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_arbitrate_temporal_objectives ~89

Arbitrate short vs long term payoffs using hyperbolic vs exponential discounting and Ulysses pre-commitment contracts.

NameTypeReqDescription
audit_action_switch–––
gamma_exponential–––
k_hyperbolic–––
long_term_optionobjectyes–
register_commitment–––
short_term_optionobjectyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_assess_competence ~53

Epistemic boundary awareness: classify task into KNOWN, KNOWN_UNKNOWN, or UNKNOWN_UNKNOWN (OOD) and track calibration.

NameTypeReqDescription
actual_outcome–––
task_structureobjectyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_audit_evidence_graph ~60

Audit the evidence graph for a task before issuing final answers. Rejects claims such as 'optimal', 'verified', or 'feasible' when their evidence dependencies are incomplete.

NameTypeReqDescription
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_build_evidence_graph ~48

Build or update an Evidence-Carrying Cognitive Graph for a task structure and solution trace.

NameTypeReqDescription
claims–––
solution_trace–––
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_causal_analysis ~57

Distinguish causal effects (do-calculus) from spurious correlation via backdoor adjustment.

NameTypeReqDescription
edgesarrayyes–
observationsarrayyes–
outcomestringyes–
treatmentstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_compile_invariant_lattice ~76

Compile a Dynamic Constraint Lattice (DCL) into algebraic boundaries, conservation laws, and reachability cones.

NameTypeReqDescription
goal_conditions–––
initial_state–––
max_rate_of_change–––
step_budgetinteger––
task_data–––
task_structure_id–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_compose_strategies ~84

Skill Composition: synthesize a composite multi-stage StrategyIR from primitive strategies. Chains multiple specialized skills (e.g. Graph Coloring + Topological Sort + Allocation) into a compound pipeline with explicit stage transitions and end-to-end verification.

NameTypeReqDescription
composite_namestringyes–
descriptionstring––
strategy_idsarrayyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_compute_intrinsic_rewards ~71

Compute intrinsic drives: novelty & prediction surprise curiosity, empowerment (channel capacity), and learning progress.

NameTypeReqDescription
actual_stateobjectyes–
extrinsic_rewardnumber––
predicted_state–––
reachable_states–––
skill_name–––
skill_success–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_compute_lattice_signature ~36

Compute coordinate-free topological invariant signature of a lattice or task.

NameTypeReqDescription
lattice_id–––
task_data–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_compute_number_theory ~89

Number theory: primality, factoring, extended GCD, Diophantine, modular inverse, CRT, combinatorics, Fibonacci.

NameTypeReqDescription
a–––
b–––
c–––
k–––
m–––
moduli–––
n–––
operationstringyes–
remainders–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_counterfactual_what_if ~75

Counterfactual engine: evaluate 'What if I had done X instead of Y at step t?' using Pearl's abduction-intervention-prediction.

NameTypeReqDescription
counterfactual_action–yes–
dtnumber––
factual_tracearrayyes–
intervention_stepintegeryes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_create_simulated_environment ~52

Instantiate and initialize a simulated cognitive environment (spatial_commons, multi_agent_arena, sequential_puzzle).

NameTypeReqDescription
env_id–––
env_typestring––
parameters–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_crucible_stress_test ~81

Subject candidate trajectories to adversarial algebraic perturbations to calculate Robustness Index (R) and project hardened paths.

NameTypeReqDescription
lattice_data–––
lattice_id–––
max_perturbationsinteger––
step_budgetinteger––
stress_amplitudenumber––
trajectory–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_evaluate_claim_evidence ~81

Evaluate support status and confidence for an individual claim with evidence.

NameTypeReqDescription
assumptions–––
claimstringyes–
dependencies–––
evidence–––
invalidation_conditions–––
objectstring––
relationstring––
subjectstring––
task_structure_id–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_evaluate_cooperation ~80

Multi-agent cooperation: analyze game payoff matrices, compute Nash/Pareto equilibria, and execute reciprocity policies.

NameTypeReqDescription
contributions–––
endowments–––
game_typestringyes–
multipliernumber––
my_history–––
partner_history–––
strategystring––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_evaluate_counterfactual_query ~65

Evaluate a counterfactual query on a plan ('What if capacity drops?', 'What if a route fails?', etc.).

NameTypeReqDescription
parameters–––
plan_id–––
query_typestringyes–
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_evaluate_generalization_benchmarks ~37

Evaluate broad generalization across spatial commons, multi-agent arenas, and sequential causal puzzles.

NameTypeReqDescription
benchmark_filter–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_execute_task ~469

One-call orchestration: identify → gate → guide → solve → verify → report. Parameters: - task: Dict containing: - task_structure (or loose definition: name, entities, constraints, etc.) - raw (optional): Domain-specific execution payload. If omitted, returns status='guidance_only' with 'recommended_action'='supply_raw' and an 'expected_raw_formats' object detailing valid schemas. Supported problem types for task.raw: * scheduling: {"workers": [{"id": "w1", "eligible_shifts": ["s1"], "max_shifts": 1}], "shifts": [{"id": "s1", "required_workers": 1}]} * allocation: {"consumers": [{"id": "c1", "demands": {"r1": 1}}], "resources": [{"id": "r1", "capacity": 2}]} * graph: {"nodes": ["A", "B"], "edges": [["A", "B"]]} * graph_coloring: {"nodes": ["A", "B"], "edges": [["A", "B"]], "colors": ["red", "blue"]} * shortest_path: {"nodes": ["A", "B"], "edges": [["A", "B"]], "weights": {"A->B": 1.0}, "start": "A", "target": "B"} * math: {"math": {"question": "...", "quantities": {...}, "equations": [...], "target_variable": "x", "ground_truth": 42.0}} * code: {"code": {"code": "def solution()...", "tests": ["assert ..."]}} * pddl: {"pddl": {"plan": [...], "init": {...}, "goal": {...}}} Returns a single envelope with status (completed / guidance_only / blocked_until_clarified / no_applicable_guidance / refused_infeasible / failed), solution, score, assumptions, failure reasons, and expected_raw_formats.

NameTypeReqDescription
environment–––
goal–––
model_familystring––
task–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_few_shot_induce ~93

Few-shot learning: induce a generalized procedural StrategyIR from 1-3 problem traces. Extracts structural invariants (decision ordering, invariant contracts, verification rules) and registers an initial candidate strategy immediately without requiring large training sets.

NameTypeReqDescription
solution_traceobjectyes–
source_modelstring––
strategy_name–––
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_generate_and_prioritize_goals ~70

Autonomous goal synthesis from world deficits, depleted reserves, and exploration frontiers with multi-criteria prioritization.

NameTypeReqDescription
depleted_reserves–––
goal_status_update–––
max_activeinteger––
unexplored_frontiers–––
world_state–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_get_experiment ~32

Retrieve details and benchmark results of an experiment (§24, §69).

NameTypeReqDescription
experiment_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_get_final_evidence_result ~54

Compile a final evidence result listing supporting evidence, assumptions, missing evidence, contradictions, unchecked dependencies, confidence, and invalidation conditions.

NameTypeReqDescription
target_id–––
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_get_guidance ~188

Retrieve applicable validated strategies for a task (§24, §18). Does NOT return unverified or suspended strategies as trusted guidance. Provides calibrated uncertainty, applicability conditions, and negative transfer warnings. Args: task_structure_id: UUID of the abstract task structure. environment: Environment characteristics. goal: Goal description and metric targets. available_capabilities: Capabilities supported by the caller. model_family: Model family of the consumer agent (e.g. 'claude', 'gpt', 'local'). Returns: Ranked list of applicable strategies with procedures, conditions, and evidence. Failures return {"error", "detail", "hint"} — never a bare exception.

NameTypeReqDescription
available_capabilities–––
environment–––
goal–––
model_familystring––
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_get_strategy ~67

Retrieve a usable strategy: steps, when to use, when not, evidence summary. Disclosure: you learn WHAT to execute, never HOW the engine induces, verifies, or ranks knowledge (no trust signals, audit, tenants, traces).

NameTypeReqDescription
strategy_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_get_strategy_report ~34

Evidence dossier: baseline vs assisted, distribution, CI, failures, last eval.

NameTypeReqDescription
strategy_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_ground_language ~44

Non-LLM compositional semantics: parse utterance into semantic predicates and evaluate directly against WorldState.

NameTypeReqDescription
utterancestringyes–
world_state–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_hierarchical_plan ~61

Decompose high-level goals into milestone subgoals using Hierarchical Task Network (HTN) planning.

NameTypeReqDescription
compound_tasks–––
goal_tasksarrayyes–
initial_stateobjectyes–
primitive_operators–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_identify_task ~125

Create or resolve an abstract task structure without storing raw private content (§24). Args: task_structure: Structural representation (entities, constraints, variables, etc.). environment: Environmental context and characteristics. goal: Objective and optimization goals. Returns: task_structure_id, structural_features, and matching existing structures. On invalid input returns {"error", "detail", "hint"} instead of raising, so the MCP client sees the cause instead of a generic execution error.

NameTypeReqDescription
environment–––
goal–––
task_structure–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_induce_morphic_transfer ~62

Discover topological homomorphism between source experience and target problem, transducing solution paths.

NameTypeReqDescription
source_lattice_id–––
step_budgetinteger––
target_lattice_id–––
target_task_data–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_infer ~63

Perform logical deduction (Horn clauses) or exact probabilistic Bayesian network inference.

NameTypeReqDescription
evidence–––
facts–––
nodes–––
probabilisticboolean––
query–––
query_var–––
rules–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_infer_human_values ~97

Infer human values via Bradley-Terry IRL, detect Goodhart's law / specification gaming, and assess CIRL deference.

NameTypeReqDescription
action_evaluated–––
action_irreversibleboolean––
action_stakesstring––
baseline_metrics–––
comparisons–––
detect_gamingboolean––
projected_metrics–––
proxy_metric–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_inspect_lexicon ~30

Inspect grounded lexicon acquired via situated interaction (learned vocabulary, concept bindings, confidence).

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_inspect_self_model ~31

Engine self-model introspection: inspect capabilities, domain competence, active subsystems, and safety status.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_learn_from_mistake ~96

Online Real-Time Error Reflection & Strategy Patching. When an execution fails, analyzes root-cause constraint violations, synthesizes new exception cases and repair procedures, verifies update against anchor regression, and publishes the patched strategy version in real time.

NameTypeReqDescription
execution_traceobjectyes–
strategy_idstringyes–
task_instanceobjectyes–
violationsarrayyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_learn_language_interaction ~82

Interactive language acquisition: learn word-concept bindings through cross-situational observation, games, and feedback.

NameTypeReqDescription
candidate_objects–––
feedback_correct–––
feedback_incorrect–––
interaction_typestringyes–
referent_features–––
target_object_id–––
utterancestringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_learn_world_model ~33

Online world model learning: update state transition priors from empirical execution traces.

NameTypeReqDescription
transitionsarrayyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_list_experiments ~24

Discovery: list recorded benchmark experiment IDs for cognitive.get_experiment.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_matrix_algebra ~65

Exact rational matrix & vector algebra: multiply, determinant, inverse, transpose, trace, eigenvalues, dot/cross.

NameTypeReqDescription
matrix_A–––
matrix_B–––
operationstringyes–
vector_u–––
vector_v–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_monitor_reasoning ~57

Introspective reasoning critic: inspect trace in-flight to catch cycles, invariant drift, vacuous output, and stalling.

NameTypeReqDescription
current_stepobjectyes–
invariants–––
trace_historyarrayyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_parse_task ~75

Convert natural-language task text into CIR and task_structure dict. Every natural-language input is normalized into CIR before reasoning. Returns both the normalized CIR and a human-readable explanation.

NameTypeReqDescription
descriptionstring––
promptstring––
task_textstring––
textstring––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_plan_with_counterfactuals ~63

Synthesize the best verified plan across candidate rollouts, uncertainty tracking, and constraint pruning.

NameTypeReqDescription
current_state–––
goal–––
horizoninteger––
method–––
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_predict_world_state ~53

Forward world model: predict future state trajectories and uncertainty bounds under actions.

NameTypeReqDescription
actionsarrayyes–
dtnumber––
stateobjectyes–
timescalestring––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_project_to_manifold ~77

Project a candidate state or plan step onto the Singular Transition Manifold M = F(S0) ∩ B(Goal). Returns the corrected state, corrective delta vector Delta S = S* - S, and boundary distance margins.

NameTypeReqDescription
lattice_data–––
lattice_id–––
state–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_propose_strategy ~109

Propose a candidate strategy from problem-solving experience (§24, §2). IMPORTANT: This NEVER makes the strategy TRUSTED. The strategy enters CANDIDATE state and requires objective verification.

NameTypeReqDescription
applicability–––
descriptionstringyes–
exceptions–––
experience_ids–––
namestringyes–
preconditions–––
procedurearrayyes–
source_modelstring––
task_structure_id–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_record_experience ~72

Record an observable event in an ongoing experience episode (§24, §7). Accepts structured actions, observations, and state changes. Never sends raw unredacted private transcripts.

NameTypeReqDescription
event_dataobjectyes–
event_typestringyes–
experience_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_refine_lattice_from_feedback ~60

Autonomously evolve higher-order invariants, tighten bounds, and discover cliques from execution feedback.

NameTypeReqDescription
default_ratenumber––
feedback_traces–––
lattice_data–––
lattice_id–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive_report_transfer ~115

Record whether a transferred strategy helped or harmed on a novel task (§24, §19).

NameTypeReqDescription
baseline_performance–––
baseline_score–––
consumer_model_familystring––
model_familystring––
performance_with_strategy–––
source_task_structure_id–––
strategy_idstringyes–
success–––
target_task_structure_id–––
task_structure_id–––
transfer_typestring––
with_strategy_score–––

Structured output declared, but exposes no named fields.

No examples provided.

Install

How do I install the Neotic MCP server?

Neotic is a hosted endpoint at https://www.neotic.app/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · www.neotic.app

# add to Claude Code
claude mcp add --transport http app-neotic-www-neotic 'https://www.neotic.app/api/mcp'
Common questions

What is the Neotic MCP server?

Neotic is an MCP server listed in the public MCP registry as app.neotic.www/neotic. AI agents create contextual in-app experiences, announcements, and triggers with Neotic. This page covers its hosted endpoint (https://www.neotic.app/api/mcp).

Is the Neotic MCP server safe to use?

Neotic scores 25 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Neotic MCP server expose?

Neotic exposes 140 tools: cognitive.identify_task, cognitive.get_guidance, cognitive.start_experience, cognitive.parse_task, cognitive.record_experience, and 135 more. Their descriptions and schemas cost roughly 10,691 tokens of context every time the server is loaded.

Does the Neotic MCP server require authentication?

Its publisher declares no required credentials for Neotic. We have not been able to confirm that against the live endpoint, and a server can require authorisation without declaring it here.

Is the Neotic MCP server still maintained?

Neotic is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.