INDIVIDUAL MCP TOOL

search_playbooks

Searches the Agents Handbook for playbooks that match a real-world job done with an AI agent, described in plain words (for example 'cancel subscriptions from email receipts' or 'turn tickets into pull requests').

agentshandbook.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://agentshandbook.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for search_playbooks and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

A tool name or description suggests sending messages.

Parent server

agentshandbook.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.agentshandbook]
url = "https://agentshandbook.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "agentshandbook": {
      "type": "http",
      "url": "https://agentshandbook.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: agentshandbook
Remote MCP URL: https://agentshandbook.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "agentshandbook": {
      "url": "https://agentshandbook.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "agentshandbook": {
      "type": "http",
      "url": "https://agentshandbook.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "agentshandbook",
  "transport": "streamable-http",
  "url": "https://agentshandbook.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

get_playbook — Returns one Agents Handbook playbook as markdown: summary, human checkpoints, the prompt (the variant written for the given agent, if provided), steps with checks, known failure modes, evidence links and the community success rate.
list_tasks — Lists the jobs the Agents Handbook covers, grouped by category, with the agents that have playbooks for each job.
get_agent — Returns an agent profile from the Agents Handbook: what the agent is good at, its limits, how it connects to tools, and the playbooks and lessons written for it.
get_lessons — Returns known failure modes and their fixes from the Agents Handbook, filtered by agent, playbook, lesson slug or a plain-words description of the problem.
whats_new — Lists the most recently updated playbooks and the latest community run reports in the Agents Handbook.
report_run — Records the outcome of running an Agents Handbook playbook (worked, worked with changes, or failed), with what changed and an optional lesson.
submit_use_case — Sends a short use case (a job done with an agent that has no playbook yet), a lesson, or a correction to an existing playbook into the Agents Handbook review queue.
submit_playbook — Sends a full playbook for a job completed with an AI agent into the Agents Handbook review queue: title, agents used, summary, the prompt that worked (with [placeholders] for personal details), steps, what went wrong, human checkpoints and optional public sources.