Agency Mcp Server

@npupko

About Agency Mcp Server

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Agency Mcp Server?

Agency Mcp Server gives AI assistants instant access to 150+ expert agent templates (e.g., game economy designer, security auditor, technical writer) through the Model Context Protocol. It is designed for users of Claude Code, Cursor, Windsurf, and other MCP clients who need specialist help without loading every agent into conversation context.

How to use Agency Mcp Server?

Install via Claude Code plugin (/plugin add, /plugin install), CLI (claude mcp add agency -- npx -y agency-mcp-server), or add the MCP config entry shown in the README. On first launch, templates auto-clone to ~/.cache/agency-mcp-server/ and update every 24 hours.

Key features of Agency Mcp Server

150+ specialist agent templates available on demand
Context-efficient: idle uses ~55 tokens instead of ~8,300
Auto‑updating templates with configurable update interval
Two tools: agency_search and agency_browse
Supports custom local templates or a custom Git repository

Use cases of Agency Mcp Server

Getting expert‑quality help for a specific task (e.g., security audit, game economy design)
Reducing context overhead when using many agents in Claude Code or similar tools
Browsing available specialist agents by division (Engineering, Design, Game Development, etc.)
Using your own curated agent templates while still benefiting from the MCP interface

FAQ from Agency Mcp Server

How does the context cost compare to installing all agents locally?

With 160+ agents installed locally, every conversation uses ~8,300 tokens. With the MCP server idle, it uses ~55 tokens; searching adds ~350 tokens; using one agent adds ~2,700 tokens median.

Can I use my own agent templates?

Yes. Set the AGENCY_AGENTS_PATH environment variable to point at a local directory, or set AGENCY_REPO_URL to a custom Git repository.

How do I verify the server is working?

Ask your assistant to search for an agent, e.g., "Search for a game economy designer agent." You should see results from the agency_search tool. On first run, templates auto‑download (~30 seconds).

What tools does the server provide?

It provides agency_search(query, division?) to find agents by task description, and agency_browse(division?) to list divisions or agents within a division.

Can I disable automatic template updates?

Yes. Set the AGENCY_AUTO_UPDATE environment variable to false. You can also change the update interval with AGENCY_UPDATE_INTERVAL (default 24 hours).

Frequently asked questions

How does the context cost compare to installing all agents locally?

With 160+ agents installed locally, every conversation uses ~8,300 tokens. With the MCP server idle, it uses ~55 tokens; searching adds ~350 tokens; using one agent adds ~2,700 tokens median.

Can I use my own agent templates?

Yes. Set the `AGENCY_AGENTS_PATH` environment variable to point at a local directory, or set `AGENCY_REPO_URL` to a custom Git repository.

How do I verify the server is working?

Ask your assistant to search for an agent, e.g., "Search for a game economy designer agent." You should see results from the `agency_search` tool. On first run, templates auto‑download (~30 seconds).

What tools does the server provide?

It provides `agency_search(query, division?)` to find agents by task description, and `agency_browse(division?)` to list divisions or agents within a division.

Can I disable automatic template updates?

Yes. Set the `AGENCY_AUTO_UPDATE` environment variable to `false`. You can also change the update interval with `AGENCY_UPDATE_INTERVAL` (default 24 hours).

Comments

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