"WEMO" matching MCP servers:

Model Context Protocol (MCP) server implementation demonstrating production-ready patterns in TypeScript, with tools for calculation, weather, and filesystem access.

Enables Claude to ask questions about your fleet data via the Geotab ACE AI service, with support for multi-account authentication, async queries, and DuckDB caching for large datasets.

Exposes custom Python functions as tools and integrates with Ollama for tool calling.

Enables MCP clients to browse and compare model catalogs, pick models by budget or context window, and run completions metered to the caller's own API key.

Provisions isolated SAP SuccessFactors demo orgs and generates two-surface demo scripts for Joule Chat and Joule Desktop/Claude Code.

A healthcare MCP demo server exposing clinical resources, tools, and prompts over SSE with authentication, integrated with Pydantic AI and Gemini for natural language patient record updates.

A beginner-friendly MCP server that exposes a local Ollama model as an MCP tool, enabling users to ask questions via VS Code.

A demo MCP server with two governed systems (pipeline semantic layer and predictive model) for querying and scoring professional services opportunities with cross-system governance.

Exposes a professional services pipeline prediction model with tools to score opportunities, validate inputs, and retrieve model metadata such as win probability, fees, and margin.

Serve a pydantic-ai toolset as an MCP server, enabling reuse of tools across agents and MCP surfaces.

A minimal Python MCP server that enables Claude Code to call local Ollama models (e.g., gemma3) as a tool, routing low-stakes work off the API and onto a homelab.

An MCP server that powers an interactive employee relocation intake form, enabling chat-driven completion, document upload/extraction, and local Qwen2.5 7B interpretation.

Enables interactive chat with AI models via Anthropic API, with controlled file system access to specified directories and video conversion capabilities.

A collection of MCP servers demonstrating math operations, weather data, and LangGraph workflows.

A Python MCP server for Cline integration, providing tools for file analysis and other tasks. Supports switching to Google Gemini API.

A cloud backend for a voice assistant that processes natural language commands, manages tasks, and provides speech responses. Integrates with MCP protocol and Gemini API for Vietnamese language support.

A mock MCP server that exposes protein structure prediction tools (submit, status, results) for integration with Gemini Enterprise, demonstrating the bring-your-own-MCP capability.

This MCP server enables Claude Desktop to create, visualize, and simulate quantum circuits using Qiskit and Qiskit Aer, with support for preset circuits, custom QASM, and noise modeling.

Exposes selected Swagger Petstore GET operations as callable tools for querying pets by status, tags, or ID. Supports deployment with OCI Generative AI and live testing through the Responses API.

MCP server for BytePlus generative media: Seedream image generation, Seedance video generation, media staging (TOS), and private portrait asset management.