Chuk MCP Server

`chuk-mcp` gives you a clean, typed, transport-agnostic implementation for both **MCP clients and servers**. It focuses on the protocol surface

Remote serverstreamable-httpPython

What is the Chuk MCP MCP server?

chuk-mcp gives you a clean, typed, transport-agnostic implementation for both MCP clients and servers. It focuses on the protocol surface (messages, types, versioning, transports) and leaves orchestration, UIs, and agent frameworks. Exposed over MCP by the chuk mcp mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

  • Protocol-first — Focuses on MCP messages, types, and capability negotiation — spec.modelcontextprotocol.io
  • Client + Server — Full support for building both MCP clients and servers
  • Typed — Full type hints; optional Pydantic models when available
  • Transport-agnostic — stdio by default, Streamable HTTP (NDJSON) for remote servers, easily extensible
  • Async-first — Built on AnyIO; integrate with anyio.run(...) or your existing loop
  • Small & focused — No heavy orchestration or agent assumptions

Its toolset

Everything the assistant can do here goes through one of these:

  • Tools — The Tools tool exposed by this server
  • Resources — resources = await send_resources_list(read, write) if resources.resources: uri = resources.resources[0].uri data = await send_resources_read(read
  • Prompts — prompts = await send_prompts_list(read, write) if prompts.prompts: got = await send_prompts_get(read, write, name=prompts.prompts[0].name

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

When to reach for it

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Chuk MCP's toolset — Tools, Resources, Prompts — is a fair guide to whether it matches your workflow. It is maintained by chrishayuk; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Caveats

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the chuk mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
ToolsThe Tools tool exposed by this server.
Resourcesresources = await send_resources_list(read, write) if resources.resources: uri = resources.resources[0].uri data = await send_resources_read(read, write, uri) print(data.contents)
Promptsprompts = await send_prompts_list(read, write) if prompts.prompts: got = await send_prompts_get(read, write, name=prompts.prompts[0].name, arguments={}) for m in got.messages: print(m.role, m.content)

How to install the Chuk MCP MCP server

{
  "mcpServers": {
    "sqlite": {
      "command": "uvx",
      "args": ["mcp-server-sqlite", "--db-path", "database.db"]
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "."]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Chuk MCP to Tools.
  • Use Chuk MCP to Resources.
  • Use Chuk MCP to Prompts.

Frequently asked questions

It connects Chuk MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Tools, Resources, Prompts) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Chuk MCP directly.