
Mcp Verify Claim
io.github.sudo-ai-gitPublished by GitHub account sudo-ai-gitv1.0.0Updated Oct 24, 2026
Force evidence-gated, tiered claim reporting (FACT/INFERENCE/SPECULATION). No-LLM.
Overview
A local, deterministic MCP server that forces an assistant to tier each claim as FACT, INFERENCE, SPECULATION or UNVERIFIED and attach evidence before…
- What you can do
- Classify a claim with its evidence and verification kind into a tier, a verdict (trust, review, do-not-report) and a suggested next action
- Scan a claim for fabrication or hedging signals such as completion claims without an artifact
- Retrieve the canonical status, evidence and gaps report template and the six-step behavioral loop
- Look up the definitions of the four evidence tiers
- When to use it
- Useful when an agent reports results of operations it may not actually have run, such as deploys, tests or API calls, and you want its answers to be auditable and evidence-backed rather than plausible. It is a reporting discipline layer, not a verifier of the underlying systems.
- Requirements
- Runs as a local stdio process; the README suggests installing with uv tool or pipx from the Git repository, or running the Python source with the mcp package. No accounts, API keys or environment variables are declared. The README also mentions an optional HTTP mode.
Installation
In SourceWeft
- Open Mcp Verify Claim in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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.
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)
Install & run
One command (recommended) — installs from the repo, no PyPI token needed:
Or with pipx: pipx install git+https://github.com/sudo-ai-git/mcp-verify-claim
Direct from source (fallback):
Claude Desktop / agent config
Example
Part 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.
Source: README.md at commit 8ce0505
Tools
0Version history
1- v1.0.0LatestSep 16, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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