Agency Mcp Server

agency-mcp-server

[npm version] [JSR] [CI] [License: MIT]

One MCP config entry. 150+ specialist agents on demand. No manual setup.

Your AI assistant is a generalist. Sometimes you need a specialist -- a game economy designer, a security auditor, a technical writer. This MCP server gives your assistant instant access to 150+ expert agent templates. Describe what you need, it finds the right agent and spawns it.

You: "Help me design a balanced game economy"Claude: [searches -> finds Game Economy Designer -> spawns it -> expert response]

Templates auto-fetch on first run from agency-agents and stay updated. You don't touch a thing.

Why not just install agents locally?

You can. The agency-agents install script copies all 160+ agent files directly into your tool's config directory (e.g. ~/.claude/agents/). It works -- but every agent's name and description is loaded into the context window of every conversation, whether you use them or not.

We measured it:

That's a 150x reduction in baseline context usage. You get the same 160+ agents, but you only pay for the one you're actually using.

Quick Start

Claude Code

As a plugin:

/plugin marketplace add npupko/agency-mcp-server/plugin install agency@agency-mcp-server

Or via CLI:

claude mcp add agency -- npx -y agency-mcp-server

Cursor, Windsurf, and other MCP clients

Add to your MCP config:

{  "mcpServers": {    "agency": {      "command": "npx",      "args": ["-y", "agency-mcp-server"]    }  }}

That's it. First launch clones templates to ~/.cache/agency-mcp-server/ and pulls updates every 24 hours.

Verify it works

Ask your assistant:

"Search for a game economy designer agent"

You should see results from the agency_search tool. If it's the first run, templates will auto-download (~30 seconds).

How It Works

Your assistant gets four tools:

1. agency_search(query, division?) -- describe a task, get matching agents with spawn instructions
2. agency_browse(division?) -- explore divisions and agents when you want to see what's available
3. agency_status() -- check index freshness: agent count, last update time, whether an update is available
4. agency_update() -- pull latest templates from git and rebuild the search index without restarting

When you ask for help with something specific, your assistant calls agency_search, picks the best match, and spawns a subagent with that specialist's full system prompt. You get an expert response without ever touching a config file.

What's available

Agents are organized into divisions:

Configuration

All configuration is through environment variables in your MCP config:

Use your own templates

Point at a local directory:

{  "mcpServers": {    "agency": {      "command": "npx",      "args": ["-y", "agency-mcp-server"],      "env": {        "AGENCY_AGENTS_PATH": "/path/to/your/agent-templates"      }    }  }}

Or clone from your own repo:

{  "mcpServers": {    "agency": {      "command": "npx",      "args": ["-y", "agency-mcp-server"],      "env": {        "AGENCY_REPO_URL": "https://github.com/yourorg/custom-agents.git"      }    }  }}

Template format

Each agent is a Markdown file with YAML front-matter, organized by division:

engineering/  software-architect.md  devops-engineer.mddesign/  ui-designer.mdgame-development/  game-economy-designer.md

---name: Software Architectdescription: Expert software architect specializing in system design...---
Full agent system prompt goes here.

The server indexes the name and description fields for search. The full Markdown body becomes the agent's system prompt when spawned.

MCP Interface

Tools

• agency_search(query, division?) -- find agents by task description, returns matches with file paths and a ready-to-use spawn template
• agency_browse(division?) -- list all divisions, or list agents within a specific division
• agency_status() -- check index freshness: agent count, last update time, whether an update is due
• agency_update() -- pull latest templates from git and rebuild the search index at runtime

Resources

• agency://agents -- full agent index as JSON
• agency://divisions -- division list with counts and examples

Prompts

• use-agent -- describe a task, get the best-matching agent with spawn instructions

Development

npm installnpm run build
# Run with auto-fetched templatesnode dist/index.js
# Run with local templatesAGENCY_AGENTS_PATH=./my-agents node dist/index.js
# Type checkingnpm run typecheck
# MCP Inspectornpm run inspect

Credits

Agent templates from agency-agents by @msitarzewski.

License

MIT