Context7
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
MCP servers for web search, knowledge bases, document retrieval, and semantic search.
MCPpedia tracks 771 search MCP servers. 162 of them score at least 50 out of 100, and 96 clear 70 โ about 12% of what has been published in this space. The remaining 609 are thinner: registry entries with no description, no published tool schema, or no commit in the last year. They are all still listed here, because knowing a server exists and is unmaintained is worth as much as knowing a good one exists.
Context7 leads the list at 97/100. Socraticode MCP Server (95) and Arxiv MCP Server (95) follow. Every score is the same five weighted inputs: security (CVE scanning, tool-poisoning detection, and whether the server authenticates at all), maintenance (commit recency, release cadence, and download trend), documentation, client compatibility, and token efficiency โ how much of your context window the tool definitions consume before you have asked anything.
10 of these servers are published by the vendor behind the underlying API rather than by a third party, which is usually the difference between an integration that tracks upstream changes and one that quietly stops working. 1 currently carry an open CVE; those are flagged on the server's own page with the advisory and its severity.
Also see: All Search servers, Best Productivity, Best Developer Tools, Best Data, Best Finance
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Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
MCP server for local codebase indexing, semantic search, and code dependency graphs.
A Model Context Protocol server for searching and analyzing arXiv papers
Production ready MCP server with real-time search, extract, map & crawl.
An autonomous agent that conducts deep research on any data using any LLM providers
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt โ returns 0-100 signal.
The official MCP server implementation for the Perplexity API Platform
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
๐ OneSearch MCP Server: Web Search & Scraper & Extract, Support agent-browser, SearXNG, Tavily, DuckDuckGo, Bing, etc.
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.