
Agents Handbook MCP server
Which MCP servers are Agents Handbook's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-27
- Registry namecom.agentshandbook/handbookverified in the MCP registry
The registry name sits under agentshandbook.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-27
- Tools11
- Server calls itselfagentshandbook
- Server version0.1.0
- Protocol version2025-06-18
On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 119 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 1 of the 7 days it takes to judge reliability.
Once connected
- Parameters are untyped or undescribed in 8 of 11 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
- Answeredmeasuring1 of the 7 daily checks it takes to print a share
- Median first answer126 ms
- Space in an agent's context≈ 2,100 tokensthe definitions of all its tools (11), which an agent carries on every turn
- Tool definitionsB · 88 of 100
- Typed results0 of 11 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 8 of 11
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
search_playbooksSearches 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…
get_playbookReturns 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_tasksLists the jobs the Agents Handbook covers, grouped by category, with the agents that have playbooks for each job.
get_agentReturns 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_lessonsReturns 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_newLists 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…
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…
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…
check_submissionReturns 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.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"handbook": {
"type": "http",
"url": "https://agentshandbook.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http agentshandbook https://agentshandbook.com/mcpclaude.ai, ChatGPT and other clients: add https://agentshandbook.com/mcp as a custom connector in the settings.
OpenAPI spec
12 paths, read 2026-10-27. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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