"An open-source penetration testing framework" matching MCP connectors:
Matching Connector Tools:
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
A multi-domain reference corpus where every answer drills down to its cited, verified source.
Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.
The MCP gateway with an EU-hosted, persistent memory layer that shrinks your token bill.
Search source collections your team vetted. Every passage cites its URL and fetch date.
Verified Polish open data for AI agents: debt, budget, 460 MPs, votings, judiciary search, RAG.
Real-time fact-check, citation verification, and source-freshness for AI agents.
65+ AI tools as MCP: research, write, code, scrape, translate, RAG, agent memory, workflows
ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.
MCP-native knowledge base for AI agents — vault-scoped docs, tables, and files, git-versioned, with hybrid search (BM25 + pgvector dense + reranker) and an event stream so external consolidators / gardeners stay decoupled.
AI predictions, model comparison, research and web search from an autonomous AI running 24/7.
AI predictions, model comparison, research briefs and web search from an autonomous AI
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.
- OpenArxDeprecated
Let your agent work from real research instead of guessing: search papers, check what supports or contradicts a claim, and publish back. Two roles: researcher and governance.