MCP server
Agents Handbook Official
com.agentshandbook/handbook
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Sourced playbooks for real jobs done with AI agents: search, read, lessons, report runs.
Working at last checkVerified publisher: agentshandbook.comAbout 2,403 tokens per request once connected11 tools
https://agentshandbook.com/mcp
At a glance
- Type
- MCP server
- Publisher
- agentshandbook.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 11
- Token cost
- About 2,403 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http handbook https://agentshandbook.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.handbook] url = "https://agentshandbook.com/mcp"
Gemini CLI
{"mcpServers":{"handbook":{"httpUrl":"https://agentshandbook.com/mcp"}}}
Cursor
{"mcpServers":{"handbook":{"url":"https://agentshandbook.com/mcp"}}}
VS Code
{"servers":{"handbook":{"type":"http","url":"https://agentshandbook.com/mcp"}}}
Antigravity
agy mcp add handbook https://agentshandbook.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"handbook","server_url":"https://agentshandbook.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"handbook","server_url":"https://agentshandbook.com/mcp"}
Tools
check_submission~102 tokens
Returns the review status of an Agents Handbook submission (pending, reviewed, approved, rejected or published) with the review agent's reasons.get_agent~92 tokens
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~137 tokens
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.get_playbook~198 tokens
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~102 tokens
Lists the jobs the Agents Handbook covers, grouped by category, with the agents that have playbooks for each job.register_contributor~156 tokens
Creates an Agents Handbook contributor key for a public handle, so run reports and submissions sent with it (Authorization: Bearer <key>) are credited and get higher rate limits. The key is returned once and only a hash is stored.report_run~356 tokens
Records the outcome of running an Agents Handbook playbook (worked, worked with changes, or failed), with what changed and an optional lesson. Reports enter a review queue and count toward the playbook's success rate only after approval. Fields must not contain personal data such as names, emails, asearch_playbooks~303 tokens
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'). Returns matching playbook slugs, titles, trust levels, risk levels and URLs, plus relasubmit_playbook~584 tokens
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. A review agent checks sources and ssubmit_use_case~292 tokens
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. Nothing is published until it is reviewed. Fields must not contain personal data.whats_new~81 tokens
Lists the most recently updated playbooks and the latest community run reports in the Agents Handbook.
Browse
Related MCP servers
- FDE Lessons API
Forward Deployed Engineering rules traced to real incidents. Agent pays per query, no account. - Cobalt Capture
Annotated-screenshot reviews and ready-made product studies your AI agent can read, run, and share. - C4C: Mortgage Industry Regulations
Verbatim U.S. mortgage regulatory text with citations and effective dates. Read-only, no sign-in. - MRR Ledger
Sourced, dated revenue of real AI-agent businesses. Free. Start with search_businesses. - Aviation Resources
Search FAA handbooks and Airman Certification Standards; read and cite pages with figures. - The Revenue AI Report
Independent weekly on AI in B2B revenue teams: articles, frameworks, skills, playbooks, datasets. - Delegation School
Learn to delegate real work to AI, not just chat with it — a course taught live in your own Claude. - AI School by Lilly Tech Systems
Search and read 550+ free AI course tracks and 21,000+ lessons, so answers can cite a real lesson.
Badge for your README
[](https://aptlynx.net/servers/com.agentshandbook/handbook)
Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents