MCP ServerSTDIOOfficialv0.1.1

Cranot Agentskb MCP Server

Access researched, canonical knowledge from official sources for AI agents. Provides verified answers to reduce hallucinations and ground agent responses in authoritative documentation.

io.github.Cranot/agentskb

Hosted URL

Local install

Transport

STDIO

Auth

No auth required

What the Cranot Agentskb MCP server does

How models use it and what it is built for.

Access researched, canonical knowledge from official sources for AI agents. Provides verified answers to reduce hallucinations and ground agent responses in authoritative documentation.

Connect to Cranot Agentskb

Local install — runs as a subprocess.

npx @agentskb/cli@0.1.0-beta.8

Resources

Where to find authoritative docs and source for Cranot Agentskb.

Example prompts for Cranot Agentskb

Paste any of these into Agent Studio after connecting Cranot Agentskb.

  • What is the official definition of Model Context Protocol from the canonical sources?
  • Retrieve the authoritative setup instructions for this MCP server
  • Find the verified best practices for agent knowledge retrieval
  • Show me the official documentation on how to configure the agentskb CLI

Cranot Agentskb MCP server — FAQ

Common questions about connecting and running Cranot Agentskb.

  • What sources does agentskb pull knowledge from?

    The server provides researched knowledge from official sources and canonical answers. Specific source documentation is available via the CLI tool. Check the official agentskb repository for the current list of integrated knowledge bases.

  • How do I install and run the agentskb MCP server?

    Install via npm with `npx @agentskb/cli@0.1.0-beta.8`. The server runs over stdio transport, making it compatible with any MCP client that supports standard input/output communication.

  • Does agentskb require authentication or API keys?

    The registry metadata does not specify authentication requirements. Refer to the agentskb CLI documentation or GitHub repository for details on any required credentials or configuration.

  • How does agentskb reduce AI hallucinations?

    By grounding agent responses in canonical, researched knowledge from official sources rather than model-generated content. This ensures answers are verified and traceable to authoritative documentation.

  • Is agentskb production-ready?

    The current version is 0.1.0-beta.8, indicating it is in beta. Evaluate stability and feature completeness for your use case before deploying to production environments.

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