MCP server

Governance Platform

ai.geodesiclabs/governance-platform

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.

At a glance

Type

MCP server

Publisher

geodesiclabs.ai (verified by the MCP Registry)

Status

Working at last check

Tools

37

Token cost

About 10,777 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http governance-platform https://app.geodesiclabs.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.governance-platform]
url = "https://app.geodesiclabs.ai/mcp"

Gemini CLI

{"mcpServers":{"governance-platform":{"httpUrl":"https://app.geodesiclabs.ai/mcp"}}}

Cursor

{"mcpServers":{"governance-platform":{"url":"https://app.geodesiclabs.ai/mcp"}}}

VS Code

{"servers":{"governance-platform":{"type":"http","url":"https://app.geodesiclabs.ai/mcp"}}}

Antigravity

agy mcp add governance-platform https://app.geodesiclabs.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"governance-platform","server_url":"https://app.geodesiclabs.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"governance-platform","server_url":"https://app.geodesiclabs.ai/mcp"}

Tools

• account_status ~106 tokens
  This account's plan, key usage, Blueprint counts, and the deployed platform build fingerprint (version, build, deployed).
• analyze_anomaly ~215 tokens
  Explain whether a record fits the usual pattern for records like it, and which fields stand out. No Blueprint required.
• approve_rule ~159 tokens
  Promote a rule discovered by discover_patterns into Blueprint-ready form.
• authorize_execution ~270 tokens
  Go/no-go for a real-world action (payment, filing, API write): runs full validation, then the Blueprint's execution gate. authorized=true only on PASS; REVIEW means do not proceed automatically. Different from validate: validate asks is this data correct, authorize_execution asks sho
• check_blueprint_health ~234 tokens
  Static pre-deploy analysis of a Blueprint's rule set. Returns a health verdict - healthy, acceptable, fragile, rigid, split, brittle_islands, or unsatisfiable - with advice, including joint conflicts pairwise checks miss.
• check_drift ~216 tokens
  Check whether recent submissions still match the established pattern for this Blueprint. Returns a stability verdict and observation count.
• check_realization ~248 tokens
  Structural realization analysis of a payload against the Blueprint's reference configuration (requires a 'realization' block; otherwise status=skipped). Diagnostics-tier tool; prefer validate or analyze_anomaly for standard checks.
• compare_semantic_equivalence ~454 tokens
  Compare two payloads under the dual-hash design: content_hash is content_hash normalizes field order and numeric formatting. Semantic comparison preserves field roles; renaming requires an explicit bijection. With supplied rules, scalar types and whitespace remain significant. Struct
• counterfactual ~288 tokens
  Run the same data under two rule sets and compare which future states remain valid - what-if analysis for rule changes.
• create_blueprint ~969 tokens
  Create a Blueprint - the governance contract validation runs against. A Blueprint defines what correct means for your data: fields, the math that must hold between them, and acceptable ranges. Start from load_rule_pack or discover_patterns if you have no rules yet; invoke the bluepr
• create_chain ~265 tokens
  Create a multi-agent sequential chain: stages validate in order against one Blueprint, repairs propagate forward, TTL bounds the run. Siblings: submit_chain_stage advances the chain; handoff_audit verifies a transition between stages. Returns chain_id.
• decompose_failure ~546 tokens
  Measure the numeric difference between original and corrected values: how much lies along the supplied linear rule directions (projection) and how much lies outside them (residual), with per-field contributions. Diagnostic only: it does not establish a cause, and neither record is ve
• delete_api_key Deletes data · ~268 tokens
  Permanently delete one of the caller's API keys. DESTRUCTIVE — agents using the deleted key will receive auth errors immediately. The Blueprint a key was tied to (if any) is NOT affected; only the credential is revoked. To delete a Blueprint and all its keys, use delete_blueprint.
• delete_blueprint Deletes data · ~184 tokens
  Permanently delete a Blueprint and revoke its API keys. Irreversible; requires confirm=true. Account-level keys are unaffected.
• discover_patterns ~205 tokens
  Learn candidate validation rules and structural document types from a batch of your records, deterministically - no Blueprint required. Promote results with approve_rule. Source data is not stored.
• forecast ~321 tokens
  Deterministic forward reasoning: from the current data state, generate and rank the valid next states reachable under the Blueprint's rules.
• geometric_confidence ~185 tokens
  Summarize an already-computed state_vector into a confidence level (high/medium/low) with a recommendation. Post-hoc digest - use analyze_anomaly or check_drift for fresh analysis of raw data.
• get_execution_trace ~245 tokens
  Run validation and return the per-node execution trace (node names, deterministic flags, timing) plus the verdict and determinism hash. Use validate for normal operation; this is for debugging and audit preparation.
• get_inference_trace ~230 tokens
  Retrieve the durable audit trail for a governed generation: every recorded decision and its reasons.
• govern_inference ~495 tokens
  Quality-govern an in-progress AI generation step BEFORE its output is used (complements validate, which checks finished documents). Returns an action - STOP, CONTINUE, REPAIR_REGION, REUSE_MOTIF, REVIEW, ESCALATE - with a plain-language explanation. Structural scores do not establish
• handoff_audit ~296 tokens
  Audit a handoff between two chain stages: a context capsule of verified facts from the prior stage, and (if proposed_data is given) a compatibility verdict that catches fields mutated in transit. Siblings: create_chain, submit_chain_stage.
• list_api_keys ~89 tokens
  List this account's API keys (masked) with their Blueprint bindings.
• list_blueprints ~112 tokens
  List the Blueprints on this account with field/rule/constraint counts and mode. Use the returned workflow_name as 'blueprint' in validate.
• load_rule_pack ~154 tokens
  Load a prebuilt Blueprint template (invoices, timecards, legal, POs, claims). Call without pack_id to list packs; then create_blueprint to save a customized copy.
• profile_blueprint_robustness ~216 tokens
  Sweep the Blueprint's numeric constraint bounds and report verdict stability: the stable band, the scales where the verdict first flips, and advice. Use before deploying bound changes.
• recent_inference_decisions ~248 tokens
  Recent generation-governance decisions in this owner's Blueprint version.
• reject_rule ~174 tokens
  Reject a discovered candidate rule so it will not be promoted into a Blueprint. Pair with approve_rule after discover_patterns.
• repair ~412 tokens
  One-shot repair: return corrected values that would make failing data valid under the Blueprint. Use repair_path to see the steps instead.
• repair_path ~326 tokens
  Find the shortest sequence of field changes taking invalid data to a valid state, as an ordered path of intermediate states. Different from repair (one-shot nearest fix): use repair_path to explain or audit the fix, or compare alternative repairs.
• rotate_api_key Changes accounts · ~144 tokens
  Replace an API key with a fresh one. The old key stops working immediately; the new key inherits its bindings.
• structural_types ~167 tokens
  Retrieve the document categories a discover_patterns session identified (counts, distinguishing fields, domain hints). Read-only; returns status=no_session if discovery has not run for this namespace.
• submit_chain_stage ~263 tokens
  Submit data for the chain's current stage; the platform validates it and advances the chain if it passes. Response includes next-stage info and accumulated repairs.
• update_blueprint ~904 tokens
  Update an existing Blueprint in place. Only passed fields change; pass [] to clear a list. workflow_name cannot be renamed and existing API keys keep working. Different from create_blueprint: modifies an existing Blueprint, mints no new key.
• validate ~343 tokens
  Validate structured data against a Blueprint's rules BEFORE the result is used. Returns PASS, FAIL, or REVIEW with plain-language findings, repair suggestions, a determinism hash, and a re-verifiable certificate. Same input + same rules = same verdict, every time.
• validate_repair ~249 tokens
  Validate structured data against a Blueprint and, when it fails, include repair suggestions (corrected values with the rule each fix is based on) in the same call. Same verdicts as validate: PASS, FAIL, or REVIEW, with reasons and proof.
• verify_certificate ~328 tokens
  Independently re-verify a validation certificate. Integrity mode checks the hash chain; full mode (certificate + original data) recomputes every attested rule from scratch - trust nothing, recheck everything.
• verify_replay ~249 tokens
  Check replay commitment integrity and compare recorded execution components. Version 4 includes reference context and the final result/status. A match compares commitments; this tool does not rerun the workflow or reconstruct historical reference populations, and does not prove factual c

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