AgentsKB

Provides expert-level responses with dedicated, source-backed research and official documentation per question.

javascript

5

GitHub Stars

javascript

Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "cranot-agentskb-mcp": {
      "command": "npx",
      "args": [
        "@agentskb/cli",
        "mcp"
      ]
    }
  }
}

This MCP server provides expert-level, research-backed knowledge responses by leveraging dedicated sources per question. You can configure a client to query AgentsKB through a lightweight, self-contained MCP endpoint, giving your AI access to structured, cited information without guessing.

How to use

You can use this MCP server by configuring your MCP client to connect to the AgentsKB MCP endpoint. Enable the AgentsKB MCP server in your client configuration, then send queries as you would with any MCP source. The server emphasizes dedicated per-question research and official sources, delivering expert-quality answers with traceable sources.

How to install

Prerequisites you need before setting up include Node.js and npm (or a runtime that supports npx). Ensure Node.js is installed on your machine. Then add the MCP server configuration to your client as shown in the example.

{
  "mcpServers": {
    "agentskb": {
      "command": "npx",
      "args": ["@agentskb/cli", "mcp"]
    }
  }
}

Additional setup notes

No API key is required for the free tier, which includes up to 300 queries per month. You can start querying once you have the MCP configuration in place inside your client.

Additional sections

This server offers dedicated research per question, relies on official sources such as docs, specs, and RFCs, and aims to avoid guessing when information is uncertain. It is designed to provide accurate, source-backed answers and to surface relevant materials during the response.

Available tools

ask_question

Ask for expert-quality answers with sources and explanations.

preflight_check

Check what verified knowledge exists for a task before asking the full question.

search_questions

Browse Q&As by topic to find related information.

get_stats

Retrieve coverage metrics across the knowledge base.