io.github.Cranot/agentskb

Name: io.github.Cranot/agentskb
Rating: 0.5 (9 reviews)
Author: cranot

编码与调试

by cranot

为 AI agents 提供经研究整理的知识，基于官方来源输出权威且标准的答案。

9GitHub

什么是 io.github.Cranot/agentskb？

为 AI agents 提供经研究整理的知识，基于官方来源输出权威且标准的答案。

README

AgentsKB MCP Server

Give Your AI Expert-Level Knowledge

Researched answers to any problem. Your AI, upgraded.

About this repository: AgentsKB is a hosted MCP server — 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.

Installation

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.

Claude Code

bash

claude mcp add --transport http agentskb https://mcp.agentskb.com/mcp-kb

Add --scope user to make it available in every project instead of just the current one. Verify the connection with:

bash

claude mcp list

Claude Desktop, Cursor, Cline, and other MCP clients

Add this to your client's MCP configuration file:

json

{
  "mcpServers": {
    "agentskb": {
      "type": "http",
      "url": "https://mcp.agentskb.com/mcp-kb"
    }
  }
}

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 — 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:

json

{
  "mcpServers": {
    "agentskb": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.agentskb.com/mcp-kb"]
    }
  }
}

REST API (no MCP client)

The knowledge base is also reachable over plain HTTP, with no key:

bash

curl -X POST https://agentskb-api.agentskb.com/api/free/ask \
  -H "Content-Type: application/json" \
  -d '{"question":"What is a PostgreSQL index scan?"}'

What makes us different

Your AI searches. We research. That's the difference.

Dedicated research per question - not a side task while debugging
Official sources only - docs, specs, RFCs
Would rather not answer than guess wrong

Tools

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`	—	Coverage metrics
`consult_taxonomy`	`path`, `depth`	Navigate the knowledge taxonomy
`check_prerequisites`	`domain`*	Foundational topics to understand first
`get_lockfile_status`	—	Check whether strict/pinned-answer mode is active

* required. question and query expect a full natural-language question — 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).

Coverage

55,000+ Q&As across 287 domains. The deepest coverage today is:

Databases and ORMs: PostgreSQL, Prisma, Drizzle
Frameworks: Next.js, NextAuth, Vue
Infrastructure and tooling: Docker, Bash, nginx, Git

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 — ask again later.

Reporting bugs

Open an issue on this repository: https://github.com/Cranot/agentskb-mcp/issues

Website: https://agentskb.com
@agentskb/cli on npm: https://www.npmjs.com/package/@agentskb/cli — 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.

License

MIT

常见问题