mcp-verify-claim
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-verify-claimTier this claim: 'the tests pass' — no evidence attached."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-verify-claim
A Model Context Protocol (MCP) server that forces evidence-gated, honestly tiered claim reporting. Every claim an agent makes gets classified into an evidence tier (FACT / INFERENCE / SPECULATION / UNVERIFIED) with attached evidence — the antidote to the silent-unverified-claim failure mode ("pushed successfully", "the tests pass", "the API returned 200" — asserted without ever running the command).
Deterministic, no LLM, no network calls. Self-hostable, MCP-compatible with any agent (Claude Code, Cursor, Copilot, OpenClaw, Codex CLI).
Why it exists
The most common agent failure is not wrong reasoning — it's reporting a
plausible-sounding result that was never verified. mcp-verify-claim
installs a hard gate: no unverified claim can be reported as fact.
Related MCP server: Recommend Agentic Trust Layer
The pattern it fits (agent tooling that answers with evidence, not opinion)
When you give an agent access to real operations (edits, checks, rule evaluation, mutations) through MCP, the value is that it can answer with evidence instead of opinion — it ran the check, it saw the real state, it can prove what it did. But that only holds if the agent is forced to attach the evidence. A rules-and-checks surface ("is the module valid?", "did this state change slice apply?", "what actually changed?") is exactly the high-value case: each check produces a machine-verifiable result.
mcp-verify-claim is the gate that guarantees the agent reports the result with
its evidence attached (exit code, real read-back, actual HTTP status) and cannot
pass off a guess or an unrun step as truth. Pair it with any MCP surface that
exposes operations, and the agent's answers become auditable, line-by-line,
instead of plausible.
Tools
tier_claim(claim, evidence, verification_kind)— classify a claim into a tier + verdict (TRUST/REVIEW/DO-NOT-REPORT) + honest next-action.check_claim(claim)— deterministic scan for fabrication/hedging signals (completion-without-artifact, "the API returned", hedge words).report_templates()— the canonical STATUS / EVIDENCE / GAPS completion shape and the 6-step behavioral loop.tier_definitions()— the FACT / INFERENCE / SPECULATION / UNVERIFIED definitions.
Evidence tier (the core)
Tier | Meaning | Verdict |
FACT | Saw it in raw tool output (exit code, body, file read-back, HTTP status) | TRUST |
INFERENCE | Deduced from facts; show the chain | REVIEW |
SPECULATION | A guess; never report as truth | REVIEW |
UNVERIFIED | No evidence produced | DO-NOT-REPORT |
Install & run
One command (recommended) — installs from the repo, no PyPI token needed:
uv tool install git+https://github.com/sudo-ai-git/mcp-verify-claim
mcp-verify-claim # run stdio server
mcp-verify-claim --http --port 8137 # or Streamable HTTP for remote useOr with pipx: pipx install git+https://github.com/sudo-ai-git/mcp-verify-claim
Direct from source (fallback):
pip install mcp
python3 mcp_server.pyClaude Desktop / agent config
{ "mcpServers": {
"verify-claim": { "command": "mcp-verify-claim", "args": [] }
}}Example
tier_claim("Successfully deployed", evidence="", verification_kind="")
--> tier UNVERIFIED, verdict DO-NOT-REPORT
signals: [high] completion claim without artifact
next: go get the evidence before reporting
tier_claim("Deploy is live", evidence="origin/main SHA==local HEAD, HTTP 200", verification_kind="read_back")
--> tier FACT, verdict TRUSTPart of a family
This is one of three deterministic, no-LLM agent-trust MCP servers by sudo-ai-git:
mcp-skill-sec— pre-install skill/security auditmcp-verify-claim— evidence-gated, honestly-tiered claim reporting (this repo)mcp-benchmark-hygiene— pytest config-leakage / eval-honesty detection
Sibling product: mcp-token-saver — token-cost proxy + analyzer for agent conversations (dedupes redundant tokens before they're billed; live-proven 74% cut). Discussion
Also in the family (a free CLI, not an MCP server): harness-audit — deterministic agent-eval / benchmark-grading hygiene audit that catches the same silent config-leakage mis-scoring class. Free lead-magnet; the same verification discipline, zero dependencies, auditable line-by-line.
License & provenance
MIT. Written by sudo-ai-git. Standalone behavioral-rigor tool; encodes no
proprietary method. MCP expression of the verify-before-claim agent skill.
Official MCP Registry metadata
mcp-name: io.github.sudo-ai-git/mcp-verify-claim
Hire a custom integration
Need this connected to your internal system (auth, logging, security-scan pass, hosted)? Open a custom-build request. MIT reference assets are free to use either way.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
This server cannot be installed
Maintenance
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Related MCP Servers
- FlicenseNot gradedqualityNot gradedmaintenanceA bounded evidence review engine that ingests documents, extracts evidence for a given claim, detects contradictions, and produces auditable evidence packets without hallucinations or open-web research.-
- AlicenseNot gradedqualityBmaintenanceEnables agents to verify claims with evidence-based truth scores and confidence levels by running a deterministic pipeline of evidence lanes and adversarial checks.22MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to verify their own output mid-task by checking every claim against provided sources, returning supported, partial, unsupported, or contradicted verdicts with exact citations.MIT
- AlicenseAqualityBmaintenanceEnables AI agents to record, recall, correct, and forget evidence-backed factual claims with temporal history, while explaining whether remembered information is current, historical, or contested.5Apache 2.0
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