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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 (18 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.

What we tested

Checks we ran (5)

  • TLS certificate
  • HTTPS
  • HSTS header
  • DNSSEC
  • Transport

Checks we could not complete (6)

These are gaps on our side, not findings about this hosted endpoint. We only credit what we can confirm, so a category made up entirely of them scores 0.

  • Authorization in Endpoint SecurityAuthorisation not yet verified: we couldn't confirm whether this endpoint requires it.
  • Schema quality in Schema Quality & AI Usability (scores 0 for this)Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.
  • Stability in Stability & Change Management (scores 0 for this)Stability not yet verified: not enough scan history yet (needs a 30-day window).
  • Tool coverage in Tool Coverage (scores 0 for this)Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.
  • Tool safety in Tool Safety (scores 0 for this)Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.
  • Capabilities in Capabilities (scores 0 for this)Capabilities not yet verified: we couldn't read the endpoint's capabilities.

Does not apply to this hosted endpoint (2)

  • Supply Chain SecurityScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.
  • Provenance & TransparencyScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.

The score does not measure everything. What the score does not measure →

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. DS published 23684 8 Verified
neotic.app. No DS 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.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 ~29

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 ~30

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 ~95

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 ~81

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 ~32

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.

cognitive.resolve_intent ~61

Pragmatics: resolve indirect speech acts (e.g. ability questions to directives), anaphoric pronouns, and verify presuppositions.

NameTypeReqDescription
speaker_idstring––
utterancestringyes–
world_state–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.run_closed_loop_agent ~62

Run the end-to-end cognitive agent closed loop (Perceive -> Model -> Decide -> Act -> Reflect -> Learn).

NameTypeReqDescription
actions–––
env_id–––
env_typestring––
max_stepsinteger––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.run_multi_agent_simulation ~61

Simulate repeated multi-agent interaction with social dilemmas, speech acts, and reputation tracking.

NameTypeReqDescription
agent_actions–––
game_typestring––
num_roundsinteger––
opponent_policystring––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.safe_self_improve ~77

Safe self-improvement: propose modifications guarded by immutable verification oracles and anchor regressions.

NameTypeReqDescription
patch_namestringyes–
proposed_changesobjectyes–
rollbackboolean––
rollback_snapshot_id–––
simulated_regression_failboolean––
target_componentstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.simulate_actions ~48

Simulate and rank candidate actions by predicted feasibility, reward, and constraint safety.

NameTypeReqDescription
candidate_actionsarrayyes–
dtnumber––
stateobjectyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.solve_and_compare ~111

End-to-end autonomy: identify → guide → execute → baseline → verify → verdict. Give raw task data (scheduling: workers/shifts/eligibility/capacity/ exclusivity; graph: nodes/edges; allocation: consumers/resources/...). Returns the guided solution, the unguided baseline, independent verification of both (with objective_source + independently_verified), and whether the engine improved the result.

NameTypeReqDescription
model_familystring––
task–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.solve_arithmetic ~53

Evaluate or simplify mathematical expressions (PEMDAS with power, functions like sqrt, exp, log, sin, cos).

NameTypeReqDescription
expressionstringyes–
simplifyboolean––
variables–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.solve_equation_system ~100

Solve linear equations (ax + b = c), quadratic equations (ax^2 + bx + c = 0), or linear systems (A x = b).

NameTypeReqDescription
equation_typestringyes–
linear_a–––
linear_b–––
linear_c–––
matrix_A–––
quad_a–––
quad_b–––
quad_c–––
vector_b–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.solve_word_problem ~56

Solve math word problems (GSM8K/SVAMP/MATH) via topological constraint propagation.

NameTypeReqDescription
equations–––
quantities–––
questionstring––
target_variablestring––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.start_experience ~135

Start an experience episode (§24, §10). Does not store raw prompts or full conversations. For long-horizon work, pass parent_experience_id (+ subgoal) to chain episodes with an inherited goal stack; unknown parents are rejected, never silently adopted.

NameTypeReqDescription
agent_idstringyes–
environment_idstringyes–
model_familystring––
model_versionstring––
parent_experience_idstring––
subgoalstring––
task_instance_hashstring––
task_structure_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.step_simulated_environment ~36

Step an active simulated environment with an agent action.

NameTypeReqDescription
actionobjectyes–
env_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.submit_outcome ~76

Submit the structured outcome of an experience episode (§24, §10). Triggering this may induce candidate strategies in the engine.

NameTypeReqDescription
experience_idstringyes–
failure_modes–––
metrics–––
resultobjectyes–
success–––
verifier_resultstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.synthesize_program ~46

Synthesize new algorithmic Python procedures on the fly with AST sandboxing and verification.

NameTypeReqDescription
parameters–––
problem_typestringyes–
test_examples–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.synthesize_singular_path ~80

Synthesize an optimal, invariant-verified trajectory from initial state to goal through the singular bottleneck. Eliminates dead-end branching and hallucinated unfeasible solutions.

NameTypeReqDescription
goal_conditions–––
initial_state–––
lattice_id–––
step_budgetinteger––
task_data–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.theory_of_mind ~100

Theory of Mind: model agents' BDI mental states, test false beliefs (Sally-Anne), and infer goals via inverse planning.

NameTypeReqDescription
action_trace–––
agent_idstringyes–
beliefs–––
candidate_goals–––
desires–––
evaluate_false_belief_fact–––
ground_truth–––
intentions–––
witness_eventboolean––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.tree_search ~45

Perform Monte Carlo Tree Search (UCT) over action sequences to find optimal trajectory.

NameTypeReqDescription
initial_state–––
max_iterationsinteger––
valid_actions–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.verify_arithmetic_claim ~64

Formally verify an arithmetic equality claim, audit numerical stability, condition number, and cancellation risks.

NameTypeReqDescription
audit_stabilityboolean––
claim_lhs–yes–
claim_rhs–yes–
matrix–––
tolerancenumber––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.verify_ethics_and_norms ~62

Normative ethics & fairness: enforce deontological vetos, evaluate Rawlsian vs Utilitarian welfare, and arbitrate moral dilemmas.

NameTypeReqDescription
options–––
proposed_action_or_plan–––
stakeholder_payoffs–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.verify_lattice_transition ~61

Verify a candidate state or transition S_t -> S_{t+1} against invariant boundary manifolds.

NameTypeReqDescription
action–––
lattice_data–––
lattice_id–––
next_state–––
prev_state–––

Structured output declared, but exposes no named fields.

No examples provided.

cognitive.verify_strategy ~191

Run objective deterministic verification on a strategy (§24, §16). Clients cannot self-promote. Verification is evaluated server-side. Pass task_structure_id (from cognitive.identify_task) so constraints are independently recomputed from registered descriptors instead of trusting trace flags. Objective precedence: explicit caller value → recomputed from raw data → registered spec (labeled unknown) → nested trace claims ONLY when trust_trace_objective=true → otherwise unknown, never silent 0.0. Returns passed/score plus details.objective_source and details.independently_verified so callers know what was recomputed versus taken on trace claims. Failures are structured, never bare.

NameTypeReqDescription
execution_trace–––
strategy_idstringyes–
task_instance–––
task_structure_id–––
trust_trace_objectiveboolean––

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.

What did VerifyMCP test on the Neotic MCP server?

VerifyMCP ran 5 checks on Neotic, covering TLS certificate, HTTPS, HSTS header, DNSSEC and 1 more. 6 items could not be completed, a gap on our side rather than a finding about Neotic: Authorization, Schema quality, Stability, Tool coverage and 2 more. 5 categories score 0 for that reason, because we only credit what we can confirm. Supply Chain Security and Provenance & Transparency do not apply to a hosted endpoint, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.