Researched knowledge for AI agents. Canonical answers from official sources.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Agentskb.
ask_questionExpert-quality answers with sources
preflight_checkSee what verified knowledge exists for your task
search_questionsBrowse Q&As by topic
get_statsCoverage metrics
consult_taxonomyNavigate the knowledge taxonomy
check_prerequisitesFoundational topics to understand first
Give Your AI Expert-Level Knowledge
Researched answers to any problem. Your AI, upgraded.
About this repository: AgentsKB is a hosted MCP server β there is no server to build or run locally, and this repository contains no source code. It exists to document the endpoint and to collect bug reports. Point your MCP client at the URL below and you are done.
The server is hosted at https://mcp.agentskb.com/mcp-kb and speaks MCP over
streamable HTTP. No API key and no signup are required.
Add --scope user to make it available in every project instead of just the
current one. Verify the connection with:
Add this to your client's MCP configuration file:
Config file locations:
| Client | File |
|---|---|
| Claude Code (per-project) | .mcp.json in the project root |
| Claude Code (global) | ~/.claude.json |
| Claude Desktop | claude_desktop_config.json |
| Cursor (global) | ~/.cursor/mcp.json |
| Cursor (per-project) | .cursor/mcp.json in the project root |
Cursor does not use the type field β for Cursor, list url on its own.
Some older clients do not support remote HTTP servers and only launch local
processes. If yours is one of them, bridge to the endpoint with
mcp-remote:
The knowledge base is also reachable over plain HTTP, with no key:
Your AI searches. We research. That's the difference.
| Tool | Arguments | Description |
|---|---|---|
ask_question | question*, domain, limit | Expert-quality answers with sources |
preflight_check | task*, depth | See what verified knowledge exists for your task |
search_questions | query*, domain, limit | Browse Q&As by topic |
get_stats | β | Coverage metrics |
consult_taxonomy | path, depth | Navigate the knowledge taxonomy |
check_prerequisites | domain* | Foundational topics to understand first |
get_lockfile_status | β | Check whether strict/pinned-answer mode is active |
* required. question and query expect a full natural-language question β
bare keywords such as mysql are rejected.
The server also exposes two resources: agentskb://context/current (detected
project stack) and agentskb://context/prompt (a system-prompt fragment for
that stack).
55,000+ Q&As across 287 domains. The deepest coverage today is:
Call get_stats for live counts, or consult_taxonomy to browse the full
domain list.
Coverage is uneven and still growing. If you ask about a topic that is not yet
covered, the server queues it for research and replies
Topic '<name>' research queued instead of returning an answer β ask again
later.
Open an issue on this repository: https://github.com/Cranot/agentskb-mcp/issues
@agentskb/cli on npm: https://www.npmjs.com/package/@agentskb/cli β a
separate tool for pinning and verifying answers in a repo (init,
check, lock, request, update, verify). It does not implement an MCP
server and is not needed to use the endpoint above.MIT
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
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