Nerq MCP Server

Official first-party MCP server for the Nerq catalog (nerq.ai).

Nerq indexes 6.8M+ software entities, AI tools, packages, and 41,368 MCP servers, each with an independent Trust Score. This Model Context Protocol server exposes Nerq's trust judgments as agent tools, so an agent can check trust before it acts.

• Hosted endpoint (Streamable HTTP): https://mcp.nerq.ai/mcp

• Server card: https://mcp.nerq.ai/.well-known/mcp/server-card.json

• Registry namespace: ai.nerq/mcp (DNS-verified on nerq.ai)

• Free, no authentication.

This is Nerq's own server for its own catalog — first-party, not a third-party wrapper. The catalog and the trust judgments are hosted; this repository is a thin client bridge and a manifest. It holds no data, no database access, and no business logic.

Install

Or point any Streamable-HTTP MCP client at https://mcp.nerq.ai/mcp (see Using it below).

Related MCP server: dominion-observatory

Tools

Design guarantees

• Never fabricates. Resolution is exact — no fuzzy matching. On a miss the tools abstain (found: false / cannot_compare) rather than return a wrong entity: an agent acting on a fabricated match is worse than no answer.

• Never a numeric zero for the unscored. An entity with no score returns "not yet scored", never 0/100.

• Provenance on every response. Every result carries a source_url back to the Nerq page it came from, so the judgment is citable.

Using it

Recommended — connect directly to the hosted server (Streamable HTTP), no install:

https://mcp.nerq.ai/mcp

import asyncio
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.session import ClientSession

async def main():
    async with streamablehttp_client("https://mcp.nerq.ai/mcp") as (r, w, _):
        async with ClientSession(r, w) as s:
            await s.initialize()
            print(await s.call_tool("is_safe", {"entity": "langchain"}))

asyncio.run(main())

stdio clients — this repo's server.py is a thin bridge that forwards stdio to the hosted endpoint (no data, no secrets):

pip install -r requirements.txt
python server.py            # bridges stdio -> https://mcp.nerq.ai/mcp

About Nerq

Nerq is an independent, quantitative trust layer for software and the machine economy. Trust Scores are computed from independently measured dimensions (security, maintenance, popularity, compliance, …) and are machine-readable. Learn more at nerq.ai.

License

MIT — see LICENSE.