mcp-server-ragdocs
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings. Docker files included
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sanderkooger
Source: ModelScope
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
search_documentationSearch through stored documentation using natural language queries. Use this tool to find relevant information across all stored documentation sources. Returns matching excerpts with context, ranked by relevance. Useful for finding specific information, code examples, or related documentation.
list_sourcesList all documentation sources currently stored in the system. Returns a comprehensive list of all indexed documentation including source URLs, titles, and last update times. Use this to understand what documentation is available for searching or to verify if specific sources have been indexed.
extract_urlsExtract and analyze all URLs from a given web page. This tool crawls the specified webpage, identifies all hyperlinks, and optionally adds them to the processing queue. Useful for discovering related documentation pages, API references, or building a documentation graph. Handles various URL formats …
remove_documentationRemove specific documentation sources from the system by their URLs. Use this tool to clean up outdated documentation, remove incorrect sources, or manage the documentation collection. The removal is permanent and will affect future search results. Supports removing multiple URLs in a single operati…
list_queueList all URLs currently waiting in the documentation processing queue. Shows pending documentation sources that will be processed when run_queue is called. Use this to monitor queue status, verify URLs were added correctly, or check processing backlog. Returns URLs in the order they will be processe…
run_queueProcess and index all URLs currently in the documentation queue. Each URL is processed sequentially, with proper error handling and retry logic. Progress updates are provided as processing occurs. Use this after adding new URLs to ensure all documentation is indexed and searchable. Long-running oper…
clear_queueRemove all pending URLs from the documentation processing queue. Use this to reset the queue when you want to start fresh, remove unwanted URLs, or cancel pending processing. This operation is immediate and permanent - URLs will need to be re-added if you want to process them later. Returns the numb…
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`
axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge
EMBEDDINGS_PROVIDER"": "ollama",OLLAMA_BASE_URL"": "http://localhost:11434",OPENAI_API_KEY"": "your-openai-key-here",PLAYWRIGHT_WS_ENDPOINTPlaywright Remote - WebSocket endpoint for remote Playwright server (e.g., ws://localhost:3000/)QDRANT_API_KEY"": "your-qdrant-key" # if applicableQDRANT_URL"": "your-qdrant-url",Dependencies
41 dependencies, 1 flagged: playwright
Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
7/7 tools missing one or more hints — search_documentation (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_sources (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); extract_urls (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +4 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool test coverage
Only 1/7 tools referenced in tests (14%)
Write tests that reference each tool by name so every tool has at least one test.
Production dependencies are patched
0 critical, 15 high severity in production deps — @modelcontextprotocol/sdk@1.12.3 (high), @modelcontextprotocol/sdk@1.12.3 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Dependency freshness
1/9 production deps stale: tall@2022-10-26 (3.8y)
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