MCP Toolsets Runtime

MCP Toolsets Runtime

A shared runtime that discovers LangChain tools from a toolset package and serves them as an MCP server, with optional UI views and a CLI for managing tools.

Category
Visit Server

README

mcp-toolsets-runtime

The shared runtime for MCP Toolsets. Both developmentseed/mcp-toolsets and downstream repos generated from it (e.g. ecmwf/dss-agentic-ai-services) install this package instead of each carrying their own copy of the runtime.

What's in here

One Python distribution (mcp-toolsets-runtime) exposing three top-level modules, plus the view-side JS bridge:

Module What it is
mcp_runtime Discovers a toolset's LangChain tools (TOOLS) and serves them as an MCP server; serves UI views (VIEWS) as ui:// resources; derives server instructions from CREDENTIAL_HEADERS. Entry points: mcp-serve, mcp-index.
mcp_cli Typer CLI to list and call tools on a running MCP service. Entry point: mcp-cli.
mcp_toolset Scaffolds a new toolset in a consumer repo (mcp-toolset new [--with-ui] <name>), wired to this package + the npm view bridge.
mcp_agent Example Chainlit chat agent that discovers MCP servers behind an index URL and drives their tools. Ships the Chainlit host element elements/McpView.jsx. Entry points: mcp-agent, mcp-agent-web. Requires the [agent] extra.
@developmentseed/mcp-view (js/mcp-view) The view-side ui/* postMessage bridge a toolset UI imports (onData / sendMessage). Published to npm separately.

The toolset plugin contract

mcp_runtime discovers a toolset purely by convention — a <toolset>.tools module exporting:

  • TOOLS — a non-empty list of LangChain tools that return a ToolResult.
  • VIEWS (optional) — {tool_name: view_id}, with a built bundle at <package>/views/<view_id>.html.
  • CREDENTIAL_HEADERS (optional) — header names the tools read off the transport; used to derive the model-facing auth hint.

Treat these, ToolResult, and the ui/* wire protocol as public API.

Install

# base: runtime + cli (lean, for tool-serving images)
pip install "mcp-toolsets-runtime @ git+https://github.com/developmentseed/mcp-toolsets-runtime.git@v0.1.0"

# with the Chainlit web agent
pip install "mcp-toolsets-runtime[agent] @ git+https://github.com/developmentseed/mcp-toolsets-runtime.git@v0.1.0"

With uv, as a consumer:

dependencies = ["mcp-toolsets-runtime[agent]"]

[tool.uv.sources]
mcp-toolsets-runtime = { git = "https://github.com/developmentseed/mcp-toolsets-runtime.git", tag = "v0.1.0" }

Imports are unchanged from the old workspace packages: from mcp_runtime.server import build_server, etc. Bump the runtime by changing the tag and running uv lock.

Consuming this package — the plugin contract, serving toolsets, wiring up UI views (including mcp-agent install-elements and the npm bridge), and migrating off the in-repo workspace: see docs/CONSUMING.md.

Develop

uv sync --all-extras   # install with [agent] + dev tools
./scripts/lint         # ruff check + ruff format --check + mypy (config in pyproject)
./scripts/test         # pytest
./scripts/build-js     # typecheck + build + vitest for js/mcp-view (needs node)

Releases

Versioning and CHANGELOG.md are managed by release-please from Conventional Commits. See CONTRIBUTING.md — in short, your PR title is the changelog entry, and CI fails a PR whose title isn't a valid conventional commit. The Python package and the JS bridge share one version (linked).

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured