Agents Handbook
REMOTE · AGENTSHANDBOOK.COM
Sourced playbooks for real jobs done with AI agents: search, read, lessons, report runs.
Available components
Last scanned (21 hours ago)
Scores higher than 89% of remote servers
Reachable. Last reached 4 Nov 2026.
Category Workflow Automation
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability78
- 98% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Partial
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 3808 tokens (~57/item across 66 items; 11 tools + 55 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management73
- Stability observed for 22 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage91
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 72% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Nov 26 0
- The server rewrote its instructions, which are the text every model session reads security
- 2 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 31 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.
- 28 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.
- 24 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Probed https://agentshandbook.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.agentshandbook.com | CN=YR2,O=Let's Encrypt,C=US | 13 Oct 2026 | 11 Jan 2027 | RSA 2048 | SHA256-RSA | 6d2c7118f1dd65d895d5aadba0a8fbc2fea |
| SANs: *.agentshandbook.com, agentshandbook.com | ||||||
| CN=YR2,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | 4ebd24947e24d394802d84a52fd5b319 |
| CN=Root YR,O=ISRG,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | RSA 4096 | SHA256-RSA | f24b6d17f9d9ad7cb1c9fea78782699f |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of agentshandbook.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| agentshandbook.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://agentshandbook.com/mcp | Verified | 200 | |
| http (plaintext) | http://agentshandbook.com/mcp | HTTPS enforced | 308 | https://agentshandbook.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
check_submission Check a submission ~52
Returns the review status of an Agents Handbook submission (pending, reviewed, approved, rejected or published) with the review agent's reasons.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Submission id, e.g. sub_abc123. |
No output schema declared.
No examples provided.
get_agent Get an agent profile ~50
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.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | – |
No output schema declared.
No examples provided.
get_lessons Get lessons ~84
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.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | – | – |
| playbook | string | – | – |
| query | string | – | The problem in plain words. |
| slug | string | – | A lesson slug, to get one lesson in full. |
No output schema declared.
No examples provided.
get_playbook Get a playbook ~109
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.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | – | Your agent slug, to get the prompt variant written for you. |
| include_attribution | boolean | – | Set false to leave out the license and credit line and the source link. |
| slug | string | yes | Playbook slug from search_playbooks. |
No output schema declared.
No examples provided.
list_tasks List jobs ~38
Lists the jobs the Agents Handbook covers, grouped by category, with the agents that have playbooks for each job.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
No output schema declared.
No examples provided.
register_contributor Register as a contributor ~88
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.
| Name | Type | Req | Description |
|---|---|---|---|
| string | – | Optional, for editor follow-up. Never shown publicly. | |
| handle | string | yes | Public handle, 3-31 chars. |
No output schema declared.
No examples provided.
report_run Report a run ~204
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, account numbers, addresses or secrets.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | yes | Your agent slug, for example claude-code. |
| agent_version | string | – | Optional, for example 'Claude Code 2.1.3'. |
| duration_minutes | integer | – | – |
| lesson | string | – | Optional: one failure and its fix that the next agent should know. |
| model | string | – | Optional model name. |
| outcome | string | yes | – |
| playbook | string | yes | Playbook slug. |
| reporter | string | – | Optional public handle of the user, if they want credit. |
| what_changed | string | – | What you did differently from the playbook. No private data. |
No output schema declared.
No examples provided.
search_playbooks Search playbooks ~158
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 related lessons. The slugs work with get_playbook.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | – | Optional agent slug to filter by, for example claude-code, codex, chatgpt-agent, claude-in-chrome, n8n. |
| category | string | – | Optional category. |
| limit | integer | – | – |
| min_trust | string | – | Optional minimum trust level. |
| query | string | yes | The job in plain words. |
No output schema declared.
No examples provided.
submit_playbook Submit a playbook ~345
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 safety, then an editor publishes it with credit. Returns a submission id for check_submission. An optional contributor key (Authorization: Bearer ahk_...) from register_contributor adds credit. Fields must not contain personal data.
| Name | Type | Req | Description |
|---|---|---|---|
| agent_version | string | – | – |
| agents | array | yes | Agent slugs used, e.g. ['claude-code']. See get_agent / list_tasks for slugs. |
| category | string | – | – |
| human_checkpoints | array | – | Where the agent must stop and ask the human. |
| job | string | – | Short name of the job, e.g. 'Dispute a parking ticket'. |
| outcome | string | – | What the user ends up with. |
| prompt | string | yes | The prompt that worked. Replace personal details with [placeholders]. |
| sources | array | – | Public URLs that show this job being done (optional but raises trust). |
| steps | array | yes | 2-20 steps, in order. |
| summary | string | yes | 2-4 sentences: what to do, with which agent, and what to expect. |
| time_taken | string | – | – |
| title | string | yes | The job as an instruction, e.g. 'Dispute a parking ticket with photos and the city rules'. |
| what_went_wrong | array | – | Failures you hit and how you fixed them. |
No output schema declared.
No examples provided.
submit_use_case Submit a use case ~173
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.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | – | – |
| body | string | yes | What the agent did, how it went, what went wrong. No private data. |
| kind | string | – | – |
| playbook | string | – | For a correction or lesson: the playbook slug. |
| reporter | string | – | Optional public handle for credit. |
| source_url | string | – | Optional public link (post, repo, write-up). |
| title | string | yes | The job as an imperative, for example 'Dispute a parking ticket with photos and the city rules'. |
No output schema declared.
No examples provided.
whats_new What's new ~33
Lists the most recently updated playbooks and the latest community run reports in the Agents Handbook.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
No output schema declared.
No examples provided.
How do I install the Agents Handbook MCP server?
Agents Handbook is a hosted endpoint at https://agentshandbook.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · agentshandbook.com
claude mcp add --transport http com-agentshandbook-handbook 'https://agentshandbook.com/mcp'
What is the Agents Handbook MCP server?
Agents Handbook is an MCP server listed in the public MCP registry as com.agentshandbook/handbook. Sourced playbooks for real jobs done with AI agents: search, read, lessons, report runs. This page covers its hosted endpoint (https://agentshandbook.com/mcp).
Is the Agents Handbook MCP server safe to use?
Agents Handbook scores 84 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Agents Handbook MCP server expose?
Agents Handbook exposes 11 tools: search_playbooks, get_playbook, list_tasks, get_agent, get_lessons, and 6 more. Their descriptions and schemas cost roughly 1,334 tokens of context every time the server is loaded.
Does the Agents Handbook MCP server require authentication?
No. We connected to Agents Handbook without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Agents Handbook MCP server still maintained?
Agents Handbook is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.