MCP Servers
63,071 MCP servers for AI apps. Filter by category, badge and popularity.
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Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.
The only browser automation that bypasses Cloudflare, antibots, and social media blocks. Supercharge any MCP-compatible AI agent with undetectable, real-browser automation. No CAPTCHAs. No blocks. Just results. 30-second setup, undetectable by design, 98.7% success rate
An MCP (Model Context Protocol) server for indexing and querying codebases using CocoIndex. Features semantic code search with natural language queries, incremental indexing for fast updates, multi-language support (Python, JavaScript/TypeScript, Rust, Go, Java, C/C++, C#, SQL, S
Open-source SEC EDGAR toolkit. 11 tools and 7 research prompts covering every major filing type — 10-K, 10-Q, 8-K, Form 4 insider trades, 13F institutional holdings, Form D private placements, Form ADV investment advisers, DEF 14A proxy statements, SC 13D/G ownership, and NPORT.
Java enterprise application development framework for full scenario: restrained, efficient, open, ecological. 700% higher concurrency, 50% memory savings, startup 10 times faster, packing 90% smaller; compatible with Java 8 to Java 25; supports LTS. (Spring replaceable)
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
