Agents Handbook
Sourced playbooks for real jobs done with AI agents: search, read, lessons, report runs.
Connect it
Settings → Connectors → Add custom connector
URL: https://agentshandbook.com/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://agentshandbook.com/mcp{
"mcpServers": {
"handbook": {
"url": "https://agentshandbook.com/mcp"
}
}
}claude mcp add --transport http handbook https://agentshandbook.com/mcp{
"servers": {
"handbook": {
"type": "http",
"url": "https://agentshandbook.com/mcp"
}
}
}11 tools, verified live
search_playbooksread-onlySearches 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 related lessons. The slugs work with get_playbook.
get_playbookread-onlyReturns 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_tasksread-onlyLists the jobs the Agents Handbook covers, grouped by category, with the agents that have playbooks for each job.
get_agentread-onlyReturns 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_lessonsread-onlyReturns 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_newread-onlyLists the most recently updated playbooks and the latest community run reports in the Agents Handbook.
report_runRecords 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, account numbers, addresses or secrets.
submit_use_caseSends 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.
submit_playbookSends 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 safety, then an editor publishes it with credit. Returns a submission id for check_submission. An opt
check_submissionread-onlyReturns the review status of an Agents Handbook submission (pending, reviewed, approved, rejected or published) with the review agent's reasons.
register_contributorCreates 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.
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