📚AI 知识库 MCP（Context7 / 文档检索）

MCP server for GroupDocs.Comparison — compare documents and inspect source info via AI agents.

Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.

Compresses AI chat sessions into a typed knowledge graph. Local/offline via Ollama.

MCP server for MNE-Python documentation, source code, GitHub issues, and forum

Hosted Pro MCP server for RevoGrid DataGrid docs, examples, feature checks, and migration guidance.

Hosted MCP server for RevoGrid DataGrid docs, examples, feature checks, and migration guidance.

Obsidian MCP server: semantic search, knowledge graph, and vault editing. No plugin required.

The open retrieval layer for AI agents — index code, docs, data. Search via MCP.

Local knowledge graph memory MCP server for AI assistants.

Monarch biomedical knowledge graph — diseases, phenotypes, genes, variants

Sovereign E2E cloud storage for AI agents. Zero-knowledge, RGPD-compliant.

MCP server for GroupDocs.Watermark — add and search document watermarks via AI agents.

AI workspace for you, your team, and every agent. Tables, docs (images, 4K video), formulas.

Open Targets disease/target/drug knowledge graph (GraphQL)

Resource-only MCP server with docs and templates for the boxpdf TypeScript PDF layout library.

SIP/VoIP/telecom grounding for AI agents: vendor docs, RFCs, STIR/SHAKEN, traces, configs.

MCP server for GroupDocs.Conversion — convert, inspect, and list supported formats via AI agents.

Agent-native notes, tasks, dev-docs, vaults, sync & handoffs. MCP + OpenAPI dual surface.

Search, read, and edit any MediaWiki wiki. Works with Wikipedia, Fandom, and more.

Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.

Semantic knowledge engine for Obsidian with auto-classification and DAG hierarchy

Rails development skills, docs, and workflows exposed through MCP stdio.

Open scientific knowledge MCP for AI agents. Three profiles: search, publish, govern.

Scrape Google search results with SERP data, ads, and knowledge panels

Verify any business in 34 countries. BORME 40M+ acts, VIES, GLEIF, Wikidata. Free 100/day.

One-shot skill that splits docs/methodology.md into 8 standalone essays, adds a 2-paragraph intro...

Read and write a self-hosted TriliumNext knowledge base over its ETAPI.

Create, update, and manage pages, databases, and workspace users

First production Authority-MCP. W3C VC attested by Jassverband Schweiz.

An MCP server that gives your AI access to the source code and docs of all public github repos

Verified Quran verses, duas, 99 Names of Allah, and prophets. Multi-madhab reviewed.

Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.

A growing Citadel of stack-specific docs, served as MCP tools for AI coding agents.

Japan Operations OS for AI agents — 14 knowledge domains, 31 tools via REST+MCP.

Japan business regulations, compliance, travel, protocols, memory — 10 knowledge domains, 23 tools.

Docstring quality vetting for Python -- enrichment, freshness, coverage, and presence checks

Catch spec drift before it catches you. Detect overlap, stale docs, and code drift.

Cross-project knowledge graph for MCP — map features across mobile, backend, and admin codebases.

End-to-end agent-managed company brain. Docs, diagrams, plans, Knowledge Graph. Lean & affordable.

Local-first MCP server: semantic search over library docs. No cloud, no API key, no telemetry.

ZKEvidenceOracle - 14 zero-knowledge proof tools for compliance evidence: Groth16, PLONK.

Full-text retrieval: papers, books, patents, Wikipedia, Reddit, Telegram, YouTube. With citations.

rag-knowledge-mcp MCP server by MEOK AI Labs

rag-knowledge-graph-mcp MCP server by MEOK AI Labs

api-docs-generator-ai-mcp MCP server by MEOK AI Labs

Multi-tenant business platform — 6,000+ RBAC-gated MCP tools across finance, ops, docs, agents.

UK air quality MCP: live readings, historical trends, LAQM stats, WHO checks, knowledge base.

Semantic knowledge engine for Obsidian with auto-classification and DAG hierarchy