mcp-registry/ai.agentplaybooks/agentplaybooks · v1.0.0
Also listed as github/matebenyovszky/agentplaybooks
As of 2026-10-18 10:17 UTC, the Agentplaybooks MCP server is up (it requires sign-in) with a Glimind reliability score of 69/100 (grade C). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 14 outages in 90 days, with a median recovery of 7 minutes.
Vendor-neutral home for portable agents: skills, MCP tools, memory, canvas, and secret proxy.
Claude Code
claude mcp add --transport http agentplaybooks-mcp-server https://agentplaybooks.ai/api/mcp/manage
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"agentplaybooks-mcp-server": {
"type": "http",
"url": "https://agentplaybooks.ai/api/mcp/manage"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
50 tools on one server. Tool-selection accuracy drops as the menu grows, and some clients (e.g. Cursor) cap the number of active tools.
Group tools by task into smaller servers or toolsets, and merge near-duplicates behind one tool with a mode parameter. How to fix →
6 parameter(s) across 2 tool(s) have no description.
Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →
1 tool(s) have parameters with no type (no type/enum/anyOf/$ref).
Give every parameter a "type" (or "enum"/"anyOf"). Untyped parameters make models guess — strings for numbers, objects for arrays. How to fix →
Handshake + tools/list takes ~1,601 ms.
Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.
Requires authentication (Bearer); tool definitions could not be read anonymously.
If discovery should be public, allow initialize + tools/list without credentials and gate only tools/call. Directories and routers can then list your tools.
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 2 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fai.agentplaybooks%2Fagentplaybooks/fixes
{
"name": "write_memory",
"description": "Create or update a memory by key; previous contents are saved automatically and readable with get_memory_history. memory_at is optional and defaults to this save's time; supply an ISO timestamp to preserve an earlier time. is_archived=true hides the entry from normal search/context; false restores it. Tier controls context priority independently of archiving. Requires memory:write or full permission. Pass playbook_id as the UUID or GUID of the playbook this call should target.",
"inputSchema": {
"type": "object",
"required": [
"playbook_id",
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"description": "Memory key"
},
"tags": {
"type": "array",
"items": {
"type": "string"
},
"description": "Tags for categorization"
},
"tier": {
"enum": [
"working",
"contextual",
"longterm"
],
"type": "string",
"description": "Memory tier (default: contextual)"
},
"value": {
"description": "JSON value to store",
"type": "string"
},
"status": {
"enum": [
"pending",
"running",
"completed",
"failed",
"blocked"
],
"type": "string",
"description": "Task status (for hierarchical task tracking)"
},
"summary": {
"type": "string",
"description": "Compact summary for context views"
},
"metadata": {
"type": "object",
"description": "Graph metadata: dependencies, thread assignment, progress, etc."
},
"priority": {
"type": "number",
"description": "Priority 1-100 (default: 50)"
},
"memory_at": {
"type": "string",
"format": "date-time",
"description": "Memory time including timezone; defaults to save time"
},
"parent_key": {
"type": "string",
"description": "Parent memory key for hierarchical organization"
},
"description": {
"type": "string",
"description": "Human-readable description"
},
"is_archived": {
"type": "boolean",
"description": "Hide from normal search; false restores an archived entry"
},
"memory_type": {
"enum": [
"flat",
"hierarchical"
],
"type": "string",
"description": "flat (default) or hierarchical for task graphs"
},
"playbook_id": {
"type": "string",
"description": "UUID or GUID of the target playbook"
}
}
},
"annotations": {
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": true
},
"title": "Write memory"
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/ai.agentplaybooks/agentplaybooks"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/ai.agentplaybooks/agentplaybooks"}) over MCP.
write_memory ~537 tokenssearch_memory ~469 tokensuse_secret_write ~441 tokensupdate_playbook ~432 tokensuse_secret ~415 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fai.agentplaybooks%2Fagentplaybooks?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fai.agentplaybooks%2Fagentplaybooks?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.agentplaybooks%2Fagentplaybooks.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.agentplaybooks%2Fagentplaybooks.svg :target: https://glimind.com/server/mcp-registry%2Fai.agentplaybooks%2Fagentplaybooks?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:91785492c69ba055…, first seen 2026-10-17, included at leaf 14563 of 21,418. Version history · verify what your client received.
Compare: most reliable knowledge servers · most reliable other servers · most reliable devops servers · most reliable ai servers · most reliable productivity servers
Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-18 10:17 UTC, the Agentplaybooks MCP server is up (it requires sign-in) with a Glimind reliability score of 69/100 (grade C). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 14 outages in 90 days, with a median recovery of 7 minutes.
Agentplaybooks MCP server advertises 50 tools, including archive_memories, call_connected_tool, consolidate_memories, create_mcp_server, create_persona.
Point your MCP client at this streamable-http endpoint: https://agentplaybooks.ai/api/mcp/manage
Glimind scanned all 50 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.