Skip to main content
Glama

Groundcheck

Groundcheck — verify a factual claim against live sources, over MCP

The grounding check agents run before they commit to an answer.

Groundcheck verifies a factual claim against live sources and returns a verdict, a confidence score, and citations. Any agent — Claude Code, Cursor, your own — can call it mid-task, before it states a fact it isn't sure of.

Architecture

Two parts, each in the language that fits it:

server/   TypeScript MCP server   — thin protocol layer (stdio). Holds no logic.
engine/   Python FastAPI service  — retrieval + stance classification + the verdict brain.

The MCP server is spawned by your client over stdio and talks to the engine over HTTP (GROUNDCHECK_ENGINE_URL, default http://127.0.0.1:8723). The engine is the single source of truth for how a verdict is reached, and it classifies source stance through the canonical Python free-llm-router (free-tier providers).

verify_claim ─▶ TS MCP server ─HTTP▶ Python engine
                                        ├─ retrieval  (Wikipedia, keyless; or your own search)
                                        ├─ stance     (free-llm-router → supports/refutes/neutral)
                                        └─ verdict    (refuses on conflict, saturating confidence)

Related MCP server: cross-validated-search

Tools

Tool

Use it when

Returns

verify_claim(claim, maxSources?)

About to assert a fact you're unsure of

{ verdict, confidence, rationale, sources }

check_citations(text, maxClaims?)

Before publishing an AI-generated draft

per-claim verdict report

attribution_badge()

Want to mark content as checked

a Markdown badge

verdict is one of supported · refuted · unverified.

Quickstart

The MCP server auto-starts the Python engine if one isn't already running, so a single registration is enough — no separate process to babysit.

make install                      # deps for both halves (pip + npm)
npm --prefix server run build     # compile the server
export GROQ_API_KEY="gsk_..."     # one free key for stance classification (Groq: ~2 min, 14,400/day)

# register with your MCP client — the engine spawns on first use and stops with the server
claude mcp add groundcheck -- node "$PWD/server/dist/server.js"

Already running the engine yourself (make engine or docker compose up -d)? The server detects and reuses it — and won't touch an engine it didn't start. Set GROUNDCHECK_NO_SPAWN=1 to stop it from ever spawning one.

Once published to npm, registration becomes claude mcp add groundcheck -- npx -y groundcheck. Auto-spawn needs a local engine/ + Python deps; for an npx-only install, run the engine via docker compose up -d and the server connects to it over GROUNDCHECK_ENGINE_URL.

With no provider key the engine still runs — retrieval works, but every verdict is unverified. It degrades honestly: a disabled backend, a missing key, or conflicting sources all flow toward unverified. An unconfigured Groundcheck cannot return supported.

Note: OpenRouter's :free models are quota-throttled (HTTP 429) and make a poor sole provider. Prefer Groq or Cerebras for the fast classification tier.

Configuration (engine)

Var

Default

Purpose

GROUNDCHECK_SEARCH_BACKEND

(unset)

stub to disable real retrieval

GROUNDCHECK_SEARCH_URL

Wikipedia

custom JSON search endpoint ({results:[{title,url,snippet,stance?}]})

GROUNDCHECK_SEARCH_KEY

bearer token for the custom endpoint

GROUNDCHECK_ROUTER_PATH

sibling checkout

path to the free-llm-router Python package

GROUNDCHECK_ENGINE_HOST / _PORT

127.0.0.1 / 8723

engine bind address

GROQ_API_KEY (or any router provider key)

enables stance classification

Server side:

Var

Default

Purpose

GROUNDCHECK_ENGINE_URL

http://127.0.0.1:8723

where the server finds the engine

GROUNDCHECK_NO_SPAWN

(unset)

set to disable auto-spawning the engine

GROUNDCHECK_ENGINE_DIR

repo engine/

engine location for auto-spawn

GROUNDCHECK_PYTHON

python3

interpreter used to spawn the engine

GROUNDCHECK_REPO_URL

repo URL

URL used in the attribution footer/badge

Development

make test        # engine pytest (8 cases on the verdict rule) + server typecheck
make engine      # run the engine
make server      # run the MCP server in dev (tsx)
make build       # compile the server to server/dist

The interesting logic is in engine/groundcheck_engine/verdict.py: how much source agreement counts as "supported," how conflict is handled, and how confidence saturates.

MIT.

F
license - not found
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/beepboop2025/groundcheck'

If you have feedback or need assistance with the MCP directory API, please join our Discord server