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agentskb

agentskb

Local
github.com/CranotMemory & Knowledge9Updated 13w ago

About agentskb

agentskb is a hosted MCP server for AI agents that need researched technical answers. It draws on official documentation, specifications, and RFCs, and can decline to answer when its knowledge is insufficient.

Key features

  1. 01Answers technical questions with sources
  2. 02Checks task knowledge before work
  3. 03Searches prior Q&A by topic
  4. 04Browses a knowledge taxonomy
  5. 05Exposes project-stack context resources

Use cases

  1. 01Verify a technical approach against official sources
  2. 02Check prerequisite topics before a task
  3. 03Browse existing answers for a technology
  4. 04Provide an agent with detected stack context

MCP support

Connect an MCP client to the hosted endpoint over streamable HTTP. It exposes question, search, preflight, statistics, taxonomy, prerequisite, and lockfile tools, plus two context resources.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"cranot-agentskb": {
"command": "npx",
"args": [
"-y",
"@agentskb/cli"
]
}
}
}
Run commandnpx -y @agentskb/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@agentskb/cli0.1.0-beta.8

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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
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:

claude mcp list
Claude Desktop, Cursor, Cline, and other MCP clients

Add this to your client's MCP configuration file:

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

Config file locations:

ClientFile
Claude Code (per-project).mcp.json in the project root
Claude Code (global)~/.claude.json
Claude Desktopclaude_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:

{
  "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:

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

ToolArgumentsDescription
ask_questionquestion*, domain, limitExpert-quality answers with sources
preflight_checktask*, depthSee what verified knowledge exists for your task
search_questionsquery*, domain, limitBrowse Q&As by topic
get_stats—Coverage metrics
consult_taxonomypath, depthNavigate the knowledge taxonomy
check_prerequisitesdomain*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

Related

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.