Search & Knowledge MCP Servers

A Model Context Protocol server that provides knowledge graph management capabilities.

Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.

A comprehensive Model Context Protocol (MCP) server for market sizing analysis, TAM/SAM calculations, and industry research. Built with TypeScript, Express.js, and following the MCP specification.

rUvOS — the agentic operating system. A single static Rust binary that runs as an MCP server, giving Claude Code persistent memory, resumable signed sessions, multi-agent orchestration, a knowledge graph, safety guardrails, and a signed audit trail. Zero Node.js, zero SQLite, zero daemon.

Robot Memory - Persistent memory system for AI robots. MCP Server + hybrid search + spatial retrieval.

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

MCP server enabling symbol-aware semantic search in Claude Code

Researched knowledge for AI agents. Canonical answers from official sources.

Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

UK legislation via MCP — full-text search across statutes and provisions

Docs + source RAG for Pipe language: semantic search, cited answers, code symbol lookup.

MCP server exposing semantic concept graph tools (koncept_get, koncept_for_file, koncept_search, koncept_invariants_at_scope).

National Assembly Library of Korea catalog search (books, theses, articles, bills)

Search and cite Frédérick Madore's publications, talks, research projects, DH work and CV.

Daily Bitcoin risk with freshness state on every response. Research context, not advice.

Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).

- A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.

Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude Desktop, Cursor, and other MCP clients.

Go-based MCP server for codebase indexing and semantic search (Augment-compatible)

Code Intelligence Engine — indexes your codebase and gives AI assistants deep understanding via MCP (semantic search, call graphs, 20+ tools)

MCP server for Cognio semantic memory

Semantic search + connection-discovery across your own Apple Notes (bridges, synthesis).

Open-source MCP memory server. Persistent, searchable, tiered memory across sessions.

Turn any OpenAPI spec into an executable agent interface using graphs and semantic search.