Agents Handbook

Name: Agents Handbook
Author: com.agentshandbook

MCP serverMCP

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

by com.agentshandbookhomepage ↗v1.0.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability28/28 checks ok

when	check	result	http	latency	detail
2 h ago	mcp initialize	ok	200	146 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
8 h ago	mcp initialize	ok	200	207 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
15 h ago	mcp initialize	ok	200	169 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
22 h ago	mcp initialize	ok	200	154 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
32 h ago	mcp initialize	ok	200	144 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
2 d ago	mcp initialize	ok	200	157 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
2 d ago	mcp initialize	ok	200	145 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
2 d ago	mcp initialize	ok	200	313 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
3 d ago	mcp initialize	ok	200	158 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools
3 d ago	mcp initialize	ok	200	167 ms	server agentshandbook 0.1.0 · protocol 2025-06-18 · 11 tools

Tools observed via MCP handshake

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 e
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 chec
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 r
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 qu
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 [pla
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 h

Declared by sources

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No long description beyond the summary.

kind Official MCP Registry

name Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

Provenance

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Official MCP Registrycom.agentshandbook/handbook

first seen 8 d ago · fetched 33 h agoopen ↗

Field history (6 recent events)

8 d ago · declared · summary → "Sourced playbooks for real jobs done with AI agents: search, read, lessons, report runs."
8 d ago · declared · description → "Sourced playbooks for real jobs done with AI agents: search, read, lessons, report runs."
8 d ago · declared · publisherName → "com.agentshandbook"
8 d ago · declared · homepageUrl → "https://agentshandbook.com"
8 d ago · declared · version → "1.0.0"
8 d ago · declared · protocols → ["mcp"]

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