83trust / 100

Agents Handbook

by agentshandbook.com in Search & web

MCP serverPassing, checked 6 h ago

Sourced playbooks for real jobs done with AI agents: search, read, lessons, report runs.

https://agentshandbook.com/mcp
Tools
11
open to any client
Uptime
100%
last 30 days
Response time
234 ms
501 ms slowest 5%
Last check
Passed
6 h ago, next in 15 min

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Reliability

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Status and outage history · Atom feed · Watch with other listings

How to connect

Add it to any MCP client that supports remote servers.

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

11 tools

  • 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'). Returns matching playbook slugs, titles, trust levels, risk…

  • 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. Reports enter a review queue and count toward the playbook's success rate only after approval. Fields must not contain personal data…

  • 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. Nothing is published until it is reviewed. Fields must not contain personal data.

  • 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. A review agent…

  • check_submission

    Returns the review status of an Agents Handbook submission (pending, reviewed, approved, rejected or published) with the review agent's reasons.

  • register_contributor

    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.

Security scan

No findings

We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTime
6 h agoPassed200486 ms
16 h agoPassed200234 ms
25 h agoPassed200479 ms
35 h agoPassed200501 ms
45 h agoPassed200187 ms
Show 1 older checks
2 days agoPassed200227 ms