knowledge-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@knowledge-mcpsearch for SSRF in bug-bounty-knowledge"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
knowledge-mcp
One MCP server that serves the Trading-Knowledge and Bug-Bounty-Knowledge bases (and any other
repo with a manifest.json) to any MCP-capable agent. It reads the local repos, so it works for the
private trading repo too — no GitHub auth needed.
Tools
Tool | What |
| knowledge bases + document counts + folders |
| rank docs by title/content match, return snippets ( |
| full markdown of one document |
| the repo's |
Related MCP server: llmwiki-serve
Resource
knowledge://{kb}/index— thellms.txtfor a knowledge base.
Run / register
pip install mcp
# register at user scope (available in every project); run from the repo dir:
claude mcp add knowledge --scope user -- $(python3 -c 'import sys;print(sys.executable)') \
"$(pwd)/server.py"Add another knowledge base
Point KB_PATHS (colon-separated repo paths) at any repos that have a manifest.json (or just *.md
under books/ strategies/ techniques/ code-strategies/):
KB_PATHS="/path/to/repoA:/path/to/repoB" python3 server.pyHow an agent uses it
kb_list()→ see what's available.kb_search("SSRF")orkb_search("market making", kb="trading-knowledge")→ find docs.kb_get(kb, path)→ pull the full doc.
No URLs, no scraping — the agent queries the knowledge bases like a database.
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Related MCP Connectors
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- FlicenseNot gradedqualityCmaintenanceServes markdown knowledge from a git repository over MCP, providing tools to list, search, and retrieve documents.-
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- FlicenseNot gradedqualityCmaintenanceExposes local OpenKB knowledge bases to MCP clients, enabling wiki discovery, cataloging, lexical search, page reads, and optional LLM query fallback and skill generation.-
- AlicenseNot gradedqualityBmaintenanceMCP server for a content-first knowledge base, enabling AI agents to search (full-text, semantic, hybrid) and retrieve Markdown documents, list content, and find related docs.18MIT
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