io.github.cdeust/ai-architect-mcp-spec
MCPB · AI-ARCHITECT-MCP-SPEC.MCPB
PRD verification and host-driven generation with multi-judge consensus across 17 MCP tools.
Available components
Last scanned (4 hours ago)
Scores higher than 99% of MCPB servers
Category Developer Tools
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security0
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to cdeust/ai-architect-mcp-spec). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 67 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability83
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 1453 tokens (~85/item across 17 items; 17 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage84
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 52% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 17 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
- 17 Oct 26 +3
- Stability: 0.83 → pass security
- 16 Oct 26 +43
- Injection markers: unverified → pass ▲ security
- Stability: unverified → 0.83 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Schema quality: unverified → 100 ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- 10 Oct 26 −46
- Stability: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: 100 → unverified ▼ functional
- Capabilities: pass → unverified ▼ functional
- 7 Oct 26 +2
- Stability: 0.90 → pass security
- 3 Oct 26 +11
- Provenance: unverified → pass ▲ security
- The attested source repository moved: cdeust/ai-architect-mcp-spec security
- 2 Oct 26 −10
- Provenance: pass → unverified ▼ security
- The attested source repository moved: cdeust/ai-architect-mcp-spec security
- 1 Oct 26 −3
- Stability: pass → 0.80 functional
- 30 Sept 26 +1
- Stability: 0.97 → pass security
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 17 Oct 2026 · Analysed mcpb/https://github.com/cdeust/ai-architect-mcp-spec/releases/download/v0.8.0/ai-architect-mcp-spec.mcpb@0.8.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | mcpb |
| Reason | Verified |
| Discovered via | GitHub artifact attestations |
| Source repo | cdeust/ai-architect-mcp-spec |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/cdeust/ai-architect-mcp-spec/.github/workflows/release.yml@refs/tags/v0.8.0 |
| Rekor log index | 2408609821 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha256:1e21c45f00b4eb3874ebf5290e52bf593aa38226b197d0c4a3dc261e54362b6a |
Background: How many MCP packages publish verified provenance →
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 →
check_health ~18
Check system health — verify all components are accessible
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
conclude_verification ~363
Aggregate JudgeVerdict[] from spawned subagents into a VerificationReport (consensus + dissent). IMPORTANT: omitting claim_types when a reliability repository is open suppresses observation flushing for this batch — the calibration data will be missing for these runs (one-sided censoring).
| Name | Type | Req | Description |
|---|---|---|---|
| claim_types | object | – | Map of claim_id → claim_type. When provided, enables per-(judge × claim_type) reliability lookup. Omit to fall back to per-agent scalar priors. Source: derive from plan_section_verification / plan_do… |
| claims | array | – | OPTIONAL. Pass the Claim objects from the corresponding plan_section_verification / plan_document_verification response if you want oracle-based ground truth (breaks Curie A2 annotator-circularity fo… |
| consensus_strategy | string | – | – |
| run_id | string | – | Pipeline run_id — required for calibrated Bayesian reliability weights (CC-3 control-arm seam uses this to partition treatment vs control runs). When absent, falls back to Beta(7,3) prior for all jud… |
| scope | string | – | – |
| section_type | string | – | – |
| verdicts | array | yes | – |
No output schema declared.
No examples provided.
coordinate_context_budget ~84
Calculate token budget allocation for PRD generation. Returns per-section retrieval limits for Cortex recall, generation budgets, and section-specific query templates. Call this BEFORE starting section generation.
| Name | Type | Req | Description |
|---|---|---|---|
| completed_sections | array | – | Section types already generated |
| context_window_size | integer | – | Total context window size in tokens |
| prd_context | string | yes | The PRD context type |
No output schema declared.
No examples provided.
get_config ~14
Get the full skill configuration
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_pipeline_state ~189
Read the current pipeline state by run_id. format:'summary' (default) returns the lightweight envelope; format:'full' returns the whole state, bounded to the Claude Code 100,000-char MCP response budget by shedding least-relevant detail first (observable __bounded markers; full grounding re-fetchable via format:'grounding'); format:'grounding' returns the codebase_grounding (+ prd_validation when it fits) blobs format:'full' sheds first; format:'validation' returns prd_validation alone (the blob format:'grounding' sheds when the pair overshoots); format:'action' returns the UNBOUNDED last action emitted for this run (including full spawn_subagents prompts) — the recovery path when a start_pipeline/submit_action_result response carries a __bounded marker on its action.
| Name | Type | Req | Description |
|---|---|---|---|
| format | string | – | – |
| run_id | string | yes | – |
No output schema declared.
No examples provided.
get_prd_context_info ~33
Get configuration for a specific PRD context type
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | yes | The PRD context type |
No output schema declared.
No examples provided.
get_quality_history ~33
Get historical PRD quality scores from the evidence repository
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Maximum number of records to return |
No output schema declared.
No examples provided.
get_strategy_effectiveness ~40
Get strategy performance data — actual vs expected improvement, compliance rate
| Name | Type | Req | Description |
|---|---|---|---|
| min_executions | integer | – | Minimum executions required to include a strategy |
No output schema declared.
No examples provided.
list_available_strategies ~19
List thinking strategies available to the pipeline.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
map_failure_to_retrieval ~58
When validate_prd_section returns violations, call this to get corrective Cortex recall queries. Closes the validation→retrieval feedback loop so retries use better context.
| Name | Type | Req | Description |
|---|---|---|---|
| violations | array | yes | Violations from validate_prd_section |
No output schema declared.
No examples provided.
plan_document_verification ~50
Same as plan_section_verification but across all sections of a document.
| Name | Type | Req | Description |
|---|---|---|---|
| codebase_excerpts | array | – | – |
| memory_excerpts | array | – | – |
| sections | array | yes | – |
No output schema declared.
No examples provided.
plan_section_verification ~69
Extract claims from a PRD section and select judges. Returns JudgeRequest[] the host must execute via Agent tool in parallel.
| Name | Type | Req | Description |
|---|---|---|---|
| codebase_excerpts | array | – | – |
| content | string | yes | – |
| memory_excerpts | array | – | – |
| section_type | string | yes | – |
No output schema declared.
No examples provided.
read_skill_config ~21
Read the SKILL.md content that drives PRD generation
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
start_pipeline ~124
Initialize a new PRD pipeline run. Returns run_id and the first NextAction the host must execute.
| Name | Type | Req | Description |
|---|---|---|---|
| codebase_path | string | – | Absolute path to the codebase. Triggers index_codebase via ai-architect-mcp-codebase. |
| feature_description | string | yes | What the PRD is about — passed to all prompts |
| skip_preflight | boolean | – | If true, skip the preflight step that probes Cortex (and ai-architect when codebase_path is set). Default false. Use only when you accept degraded section generation without persistent memory recall. |
No output schema declared.
No examples provided.
submit_action_result ~37
Feed an ActionResult to the pipeline runner; receive the next NextAction.
| Name | Type | Req | Description |
|---|---|---|---|
| result | – | yes | – |
| run_id | string | yes | – |
No output schema declared.
No examples provided.
validate_prd_document ~53
Run full document validation including cross-section checks (SP arithmetic, AC numbering, FR-AC coverage, test traceability). Returns comprehensive validation report.
| Name | Type | Req | Description |
|---|---|---|---|
| sections | array | yes | Array of PRD sections to validate |
No output schema declared.
No examples provided.
validate_prd_section ~68
Run deterministic Hard Output Rules validation on a single PRD section. Returns violations found — zero LLM calls, pure regex/parsing.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | yes | The markdown content of the PRD section |
| section_type | string | yes | The type of PRD section being validated |
No output schema declared.
No examples provided.
How do I install the io.github.cdeust/ai-architect-mcp-spec server?
io.github.cdeust/ai-architect-mcp-spec ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. The MCP registry declares no SHA-256 for this bundle, so there is no published digest to check the download against.
mcpb · ai-architect-mcp-spec.mcpb
Download bundleThe MCP registry declares no SHA-256 for this bundle, so there is no published digest to check it against. Open it with an MCPB-capable host such as Claude Desktop.
What is the io.github.cdeust/ai-architect-mcp-spec server?
io.github.cdeust/ai-architect-mcp-spec is listed in the public MCP registry as io.github.cdeust/ai-architect-mcp-spec. PRD verification and host-driven generation with multi-judge consensus across 17 MCP tools. This page covers its MCPB bundle (https://github.com/cdeust/ai-architect-mcp-spec/releases/download/v0.8.0/ai-architect-mcp-spec.mcpb).
Is the io.github.cdeust/ai-architect-mcp-spec server safe to use?
io.github.cdeust/ai-architect-mcp-spec scores 66 out of 100 on VerifyMCP. Its build provenance is signed and verified. 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 io.github.cdeust/ai-architect-mcp-spec server expose?
io.github.cdeust/ai-architect-mcp-spec exposes 17 tools: get_config, read_skill_config, check_health, get_prd_context_info, list_available_strategies, and 12 more. Their descriptions and schemas cost roughly 1,273 tokens of context every time the server is loaded.
What licence is the io.github.cdeust/ai-architect-mcp-spec server under?
io.github.cdeust/ai-architect-mcp-spec declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.