repocritics-mcp-server
Provides read access to community-written summaries, scores, and reviews of open-source repositories via the RepoCritics corpus. Enables search and retrieval of wiki pages, reviews, metadata, and AI reports for repositories.
README
repocritics-mcp-server
An MCP server that gives an agent read access to the RepoCritics corpus: community-written summaries of open-source repositories, plus the scores and reviews behind them.
The point is that the summarising has already happened. Asking "is this library still maintained, and what do people actually complain about?" normally means reading a README, skimming a release feed, and sampling four issue threads. Here it is one call that returns a page someone already wrote.
Read-only, no API key, free.
Install
Claude Code — nothing to install first:
claude mcp add repocritics -- npx -y repocritics-mcp-server
Anything else — add to your client's MCP config:
{
"mcpServers": {
"repocritics": {
"command": "npx",
"args": ["-y", "repocritics-mcp-server"]
}
}
}
Or install it globally and drop the npx:
npm install -g repocritics-mcp-server
No configuration follows. The server talks to the public REST API over HTTPS; nothing is stored locally and no credentials are involved.
Tools
| Tool | What it returns |
|---|---|
search_repos |
Full-text search across the corpus. query, optional category, tag, limit. |
get_wiki |
The community wiki page for one repository. platform, owner, name. |
get_repo |
Metadata and scores for one repository. Same arguments. |
list_reviews |
Community reviews for one repository. Same, plus limit. |
list_categories |
Every category with the tag filters that define it. |
list_tags |
Tag vocabulary across the corpus, most frequent first. Optional limit. |
get_ai_report |
A cached deep-analysis report, when one exists for the repository. |
get_wiki is the one worth reaching for first — it is the summarised form the whole project exists to produce.
Resources
| URI | Content |
|---|---|
repocritics://wiki/{platform}/{owner}/{name} |
Wiki page as markdown |
repocritics://reviews/{platform}/{owner}/{name} |
Reviews as JSON |
repocritics://feed/global |
Atom feed of recent review activity |
Coverage
The corpus is seeded, not exhaustive — roughly two thousand repositories at the time of writing. search_repos is the cheapest way to check whether something is present before asking for it by name; a miss comes back as an explicit "not in the corpus" rather than an empty page.
Rate limits
100 requests per endpoint per day, per IP. No key, so nothing to rotate.
Responses are edge-cached, and a cached response never reaches the counter — repeated reads of the same page are effectively free. In practice the ceiling is only met by walking the corpus with a fresh query each time, which is what it is there for.
Going over returns a plain message with the time until the quota resets. If the limit is genuinely in your way, open an issue.
Configuration
| Variable | Default | Purpose |
|---|---|---|
REPOCRITICS_API_BASE |
https://repocritics.com/api/v1 |
Point at a local or staging deployment |
Using the data
Wiki pages are written by contributors at github.com/repocritics/wiki and licensed CC-BY-SA 4.0. Quote them, build on them, feed them to a model — attribute RepoCritics and link back.
The API is also described as OpenAPI 3.1 and advertised through an ARD catalog, if you would rather call it directly than through MCP.
Development
npm install
npm run build
npm run dev # run from source
License
MIT — see LICENSE. Wiki content is CC-BY-SA 4.0 and licensed separately.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.