Awesome Mcp Servers

The open-source reactive database for app developers

All-in-one platform for search, recommendations, RAG, and analytics offered via API

Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.

BioMCP: Biomedical Model Context Protocol

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

Smart Tree: not just a tree, a philosophy. A context-aware, AI-crafted replacement for 20+ tools with MEM8 quantum compression, semantic search, AST-smart editing, and partnership memory. Crafted with care by human + AI—accept no knock-offs.

MCP Server for Wazuh SIEM

AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL tableaux reasoner, SHACL validation, SPARQL, versioning. Single binary, no JVM.

A full featured, enterprise grade rust MCP SDK

Reflex - The instant, code-aware local search engine.

A Rust library for browser automation via Chrome DevTools Protocol with built-in AI integration through Model Context Protocol (MCP)

🦀 A high-performance code agent written in Rust, combining the best features of WCGW for maximum efficiency and semantic capabilities.

An MCP Server in Rust for creating Notion pages & mdBooks with LLMs 🦀

🪛 Rust powered precision file tools for AI agents thats minimize context use: patch-based edits, kernel-enforced path confinement. Dramatically fewer tokens than naive read/write. MCP Server or embeddable, bring your own MCP (Rust, Python, Nodejs). Come with Skills.md (npx skills add ckanthony/Chisel)

MCP Server for TheHive

Alcove is an MCP server that gives AI coding agents on-demand access to your private project docs — BM25 + vector hybrid search for precision retrieval, tree-sitter code indexing so agents understand your codebase structure, and policy enforcement for doc consistency.

keep companies accountable

Computer Experience Layer — MCP server for native computer use on macOS. Structured perception, reliable actions, continuous awareness.

Project-aware collection management based on Qdrant, including a Rust MCP, daemon and CLI: hybrid semantic, pattern and full-text (FTS5) search into single or cross-concerns collection. Dedicated collections for knowledge library, LLM behavioral rules, and an LLM scratchpad

MCP server for the OVH API — explore and execute any OVH endpoint from Claude, Cursor, or any MCP-compatible LLM client. Built in Rust.