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  1. Home
  2. 🧠 Knowledge & Memory
  3. AgentPlaybooks
AgentPlaybooks logo
Health: ActiveRecent health check succeeded.Last checked 10/7/2026, 8:17:33 PM

AgentPlaybooks

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository9 GitHub StarsTotal stargazers on GitHub for the source repository (9 stars).Visit Website
agent-configurationknowledge-managementmemorymcpdeveloper-tools

Portable playbooks keep agent personas, skills, MCP servers, instructions, memory, and credentials in one source of truth.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "agentplaybooks": {
      "command": "npx",
      "args": [
        "-y",
        "@agentplaybooks/cli@latest"
      ],
      "env": {
        "NEXT_PUBLIC_SUPABASE_URL": "YOUR_VALUE_HERE",
        "NEXT_PUBLIC_SUPABASE_ANON_KEY": "YOUR_VALUE_HERE",
        "SUPABASE_SERVICE_ROLE_KEY": "YOUR_VALUE_HERE",
        "SECRETS_ENCRYPTION_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

AgentPlaybooks MCP server connects AI agents to portable playbooks containing personas, skills, instructions, memory, MCP servers, and project context. It exposes playbook management, skill and memory access, canvas documents, workflows, connected MCP or OpenAPI tools, and a vault-backed API proxy through account MCP access. Use it when agent configuration must move across supported hosts or remain separate from a single vendor or editor. The repository also includes a web application, CLI, plugins, exports, and self-hosting components.

Use cases

•Synchronize agent instructions and skills across Claude Code and Cursor
•Store reusable playbooks with memory and run-scoped canvas documents
•Connect MCP and OpenAPI services to a shared agent configuration
•Audit local agent files for drift and likely hard-coded secrets
•Export a playbook for use with compatible agent plugin hosts

Key features

•Portable playbooks for personas, skills, instructions, memory, and MCP servers
•Account MCP access to playbooks, skills, memory, canvas, and workflows
•Federation for connected MCP and OpenAPI tools
•AES-256-GCM secrets vault with server-side secret injection
•CLI audit, synchronization, backup, and plugin export commands
•Versioned canvas documents and private configuration backups

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by AgentPlaybooks.

Extracted Tool Capabilities
Portable playbooks for personas, skills, instructions, memory, and MCP servers
Account MCP access to playbooks, skills, memory, canvas, and workflows
Federation for connected MCP and OpenAPI tools
AES-256-GCM secrets vault with server-side secret injection
CLI audit, synchronization, backup, and plugin export commands
Versioned canvas documents and private configuration backups

How AgentPlaybooks works

What AgentPlaybooks MCP server does

AgentPlaybooks MCP server provides an MCP-facing way to work with hosted playbooks. A playbook is a portable configuration record for an agent, combining one persona with project instructions, JSON-defined skills, optional skill documentation and attachments, MCP servers, memory, and versioned markdown canvas documents.

The service is designed around a single source of truth that can be used across agent platforms. The repository describes support for Claude, ChatGPT/Codex, Cursor, Gemini, local models, and other platforms through its CLI, plugins, exports, and host-specific files. It also supports public and unlisted playbooks and team access through Viewer, Coworker, and Admin roles.

How it works

AgentPlaybooks MCP server exposes account-level access to playbooks and their related resources. The documented tool surface includes playbooks, skills, memory, canvas, connected MCP and OpenAPI tools, workflows, and a vault-backed API proxy. The same package can be used as a ChatGPT/Codex plugin or as a Claude Code and Claude Cowork plugin, with a skill, commands where applicable, and account MCP access.

Memory is stored as tagged key-value data with descriptions. Canvas provides versioned markdown work documents scoped to a playbook run. Federation allows external MCP servers and OpenAPI services to become tools on a playbook, while credentials are resolved from the platform's vault by name.

The CLI can audit a local project with doctor, create or update host configuration with sync, and synchronize a hosted playbook with login, playbooks, pull, and push. Plugin export and import support Agent Plugins 1.0 packages. Backups are private and versioned; secret values are not included in plugin packages or transferred during synchronization.

Setup and configuration

To run the repository locally, install Node.js 22 or newer and npm 11 or newer, clone the project, and run npm install. A Supabase project is required. Cloudflare is optional for deployment, while the documented worker deployment uses the project's build and Wrangler commands.

Required environment variables are NEXT_PUBLIC_SUPABASE_URL, NEXT_PUBLIC_SUPABASE_ANON_KEY, SUPABASE_SERVICE_ROLE_KEY, and SECRETS_ENCRYPTION_KEY. The encryption key must contain 32 bytes represented as 64 hexadecimal characters. Losing it prevents decryption of stored vault secrets, and rotating it invalidates existing encrypted values.

NEXT_PUBLIC_APP_URL, ALLOWED_ORIGINS, and SECRETS_REQUIRE_ALLOWED_HOSTS are optional settings for canonical URLs, CORS control, and mandatory secret host allow-lists. The local development command is npm run dev.

Tools and capabilities

AgentPlaybooks MCP server supports these documented capability areas:

  • Read and manage hosted playbooks.
  • Work with skills, including portable skill content and attachments.
  • Read and update tagged memory values.
  • Create or use run-scoped markdown canvas documents.
  • Invoke connected MCP and OpenAPI tools through a playbook.
  • Run documented workflows.
  • Use a vault-backed API proxy without placing secret values in the agent context.
  • Audit and synchronize local agent configuration through the CLI.
  • Export or import Agent Plugins, MCP, OpenAPI, JSON, Anthropic, and Markdown formats.

Vault operations and federated calls are recorded in an audit trail. Secrets can have host allow-lists, and agents reference secret names rather than receiving the underlying values.

Limitations and notes

AgentPlaybooks MCP server is part of a broader application rather than a standalone local utility described with one generic installation command. Hosted use depends on the AgentPlaybooks account and API-key model; self-hosting requires Supabase and the application configuration. The README does not specify a standalone MCP transport endpoint or a complete per-tool schema.

The system does not eliminate host-specific setup: the CLI writes platform files for enabled targets, and compatibility depends on the target's MCP or plugin support. Secret values remain outside portable exports and backups, so moving a playbook transfers references and bindings rather than credentials themselves.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
9
Stargazers on the source repository.
Last commit
23d ago
Most recent push to the default branch.

Reviews

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Frequently Asked Questions about AgentPlaybooks

AgentPlaybooks is an MCP server that connects AI agents to hosted playbooks containing personas, skills, instructions, memory, MCP servers, and canvas documents. Its main tools cover playbooks, skills, memory, canvas, workflows, connected MCP or OpenAPI tools, and a vault-backed API proxy.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
ClientsClaude Code, Cursor, OpenAI Codex CLI, Gemini CLI
Last updatedOct 6, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars9
GitHub Star CountTotal stargazers on GitHub representing community popularity (9 stars).
Last commit23d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 21, 2026
43Quality signal: Fair · 43/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · @agentplaybooks/cli@latest (npm)

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