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Fastmcp Endpoint Toolsets

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A single FastMCP server that exposes multiple URL-scoped tool groups, allowing agents to access only relevant tools via separate endpoints, reducing context blo

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About

A single FastMCP server that exposes multiple URL-scoped tool groups, allowing agents to access only relevant tools via separate endpoints, reducing context bloat and token costs.

README

License: MIT Python FastMCP Protocol: MCP

Stop shipping one giant MCP tool surface to every agent.

The missing FastMCP starter for URL-scoped native MCP toolsets: one server, one port, many focused endpoints.

fastmcp-endpoint-toolsets gives you a clean packaging pattern for tool-bloat-free MCP servers: keep your tools in one FastMCP server, but expose each tool group through its own native MCP URL.

/mcp          -> all tools
/json/mcp     -> JSON tools only
/db/mcp       -> database tools only
/docs/mcp     -> documentation tools only
/text/mcp     -> text tools only
/math/mcp     -> math tools only
/time/mcp     -> time tools only

Point an agent at /math/mcp and it sees only the math tools. Point it at /mcp and it sees everything. Same process, same port -- and every URL is native FastMCP Streamable HTTP. No proxy. No gateway. No fleet of tiny servers. No custom REST wrapper.

Why it matters

Once a server has 50+ tools, every agent gets all of them in its prompt -- context bloats, token cost climbs, and tool-selection accuracy drops. Endpoint Toolsets keep the deployment simple while keeping each agent's tool surface focused:

  • Focused context -- each agent loads only its toolset, not your entire catalog.
  • One deploy -- one server, one port, one container for all your tool code.
  • Zero extra infra -- nothing to run or secure between the agent and your tools.
  • Add a tool in ~5 lines -- drop a file in tools/, register it once, and a new endpoint appears.

How it's different

Every row below is a valid pattern. This project fills the gap in the bottom one.

Approach Deploys / ports Tool surface per agent Extra moving parts
One big FastMCP server 1 All tools, always None
FastMCP mount() / import_server() 1 All tools (name-prefixed) at one URL None
Tag filtering per client 1 Filtered, but configured client-side None
N separate MCP servers N Scoped N processes / ports / containers
MCP gateway / proxy 1+ Scoped, routes to external servers A gateway to run and secure
Endpoint Toolsets (this repo) 1 Scoped, per URL, server-side None

Scoping here is per-endpoint context isolation -- each group is its own FastMCP instance with its own tool registry. Everything runs in one process.

Quick start

cd fastmcp_endpoint_toolsets
python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
python server.py

Open the dashboard at http://127.0.0.1:8001, or connect any MCP client:

http://127.0.0.1:8001/mcp        # all tools
http://127.0.0.1:8001/json/mcp   # json only
http://127.0.0.1:8001/math/mcp   # math only
http://127.0.0.1:8001/text/mcp   # text only
http://127.0.0.1:8001/time/mcp   # time only

Prefer containers? One image, one port, every endpoint behind it:

docker compose up --build

Podman: podman build / podman run work unchanged. Its default OCI format ignores the HEALTHCHECK line -- add --format docker to podman build to keep it.

Built-in dashboard

Dynamic UI to see existing tools!

http://127.0.0.1:8001 serves a zero-dependency web UI that reads /toolsets live and shows every endpoint, its tools, and its tags at a glance -- the fastest way to confirm exactly what each agent will see.

GET /          -> this dashboard
GET /health    -> health check
GET /toolsets  -> JSON discovery of every endpoint + its tools

See it in MCP Inspector

Want proof the scoping is real? With the server running:

npx @modelcontextprotocol/inspector

Set Transport to Streamable HTTP, connect to http://127.0.0.1:8001/json/mcp, and List Tools -- you'll see only the JSON tools. Switch the URL to /math/mcp and you'll see only math tools. Same server, same port -- a focused surface at every URL. Full walkthrough in USAGE.md.

Add a toolset

# tools/docs_tools.py
from fastmcp import FastMCP

def register(mcp: FastMCP) -> None:
    @mcp.tool()
    def docs_search(query: str) -> list[str]:
        """Search docs."""
        return [f"Result for {query}"]
# registry.py -- add one entry to TOOLSETS
Toolset(name="docs", title="Docs Toolset",
        description="Documentation search tools.",
        tags=("docs", "search"), register=docs_tools.register),

Restart the server and /docs/mcp is live. Full guide in USAGE.md.

What it is / isn't

It is: native endpoint toolsets from a single FastMCP server -- a clean base to fork, rename, and build your own MCP server on.

It isn't: an MCP proxy, an MCP gateway, a REST API in MCP clothing, or a bridge to external MCP servers. In-process, by design.

Documentation

  • USAGE.md -- mental model, MCP Inspector, Docker, project layout, adding toolsets
  • CONTRIBUTING.md -- dev setup, running tests, and how to contribute

License

MIT -- fork it, rename it, ship it.


Keywords: FastMCP endpoint toolsets, MCP endpoint toolsets, scoped MCP endpoints, per-agent MCP tools, grouped MCP tools, one server one port MCP, multi endpoint MCP server, native MCP tool groups, reduce MCP tool context, FastMCP Streamable HTTP, MCP server template, tool-bloat-free MCP.

from github.com/burri-ritvik/fastmcp-endpoint-toolsets

Installing Fastmcp Endpoint Toolsets

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/burri-ritvik/fastmcp-endpoint-toolsets

FAQ

Is Fastmcp Endpoint Toolsets MCP free?

Yes, Fastmcp Endpoint Toolsets MCP is free — one-click install via Unyly at no cost.

Does Fastmcp Endpoint Toolsets need an API key?

No, Fastmcp Endpoint Toolsets runs without API keys or environment variables.

Is Fastmcp Endpoint Toolsets hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Fastmcp Endpoint Toolsets in Claude Desktop, Claude Code or Cursor?

Open Fastmcp Endpoint Toolsets on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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