"Simple MCP example using HTTP transport" matching MCP servers:

Enables a single MCP client to hold one text conversation with one pipecat bot over streamable HTTP, providing start and chat tools.

A high-performance WebSocket/SSE transport layer and gateway for Anthropic's MCP, enabling real-time, scalable AI integrations with LLM agents like Claude.

A step-by-step guide and complete working example for building and running an MCP server with streamable HTTP transport using Python, mcp, and FastAPI, enabling AI assistants to access tools over HTTP.

A foundational implementation of a Model Context Protocol (MCP) server designed for educational purposes. It demonstrates the complete interaction between an LLM, an inference engine, and a client during an agentic call.

A Python-based MCP server that exposes tools over streamable HTTP using FastAPI, enabling connection to AI assistants like Cursor. Supports multiple servers mounted in a single FastAPI app.

Enables delegating checkable subtasks such as summarization, search-and-summarize, and file downloads to a local OpenAI-compatible model, with mandatory result verification and job statistics.

A lightweight MCP server for image analysis using any OpenAI-compatible API endpoint, enabling AI agents to analyze images via a single tool.

MCP server for fal model discovery, execution, pricing, and local media processing, enabling AI model workflows via natural language.

Enables agents to delegate single-shot text completion and schema-validated structured data extraction to Mistral AI models over Streamable HTTP or stdio.

Generate images from text prompts using StepFun-compatible APIs. Configurable endpoint, API key, and model with zero external dependencies.

Remote MCP server (Streamable HTTP) for generating and editing images via Google Gemini, usable as a custom connector in Claude.

Provides MCP servers (stdio and HTTP) with tools for calculation, text statistics, and unit conversion, plus an agent host that uses Gemini to orchestrate tool calls across them.

Deterministic pre-execution safety certification for autonomous AI agents. Evaluates proposed actions across scope, reversibility, and sensitivity constraints — returns Certified, Warning, Escalate, or Blocked decisions with cryptographic audit trails. 3 tools: certify_action, check_budget, get_certification_history. Built on the QAE Safety Kernel (Rust + PyO3 bindings, pip install qae-safety).

Enables MCP-compliant clients and autonomous agents to pick optimal few-shot in-context exemplars by combining semantic token overlap, cosine similarity, and Maximal Marginal Relevance diversity ranking for prompt optimization. Runs deterministically on the Python standard library with zero external dependencies, avoiding frontier LLM round-trips for sub-millisecond selection.

Enables AI agents and MCP clients to dynamically select few-shot in-context examples using semantic token overlap, cosine similarity, and MMR diversity ranking to optimize prompts deterministically without external dependencies.

Enables connecting a LangChain client to math and weather services over both stdio and Streamable HTTP transports, allowing tool invocation for arithmetic operations and deterministic weather forecasts.

Demonstrates a complete MCP server implementation supporting both local Ollama models and remote API models. Enables LangChain applications to dynamically discover and invoke tools including addition calculations and model invocation capabilities.

Turns a logged-in ChatGPT Web conversation into an OpenAI-compatible HTTP endpoint, letting any compatible client send chat completions and responses without an API key. Native tool calls tunnel back to the local MCP server and execute under bubblewrap sandboxing with capability-bound session tokens, idempotent turns, and DOM-captured answers.

Enables natural language database queries by combining Ollama's language models with SQLite database access through an MCP server.

Enables vision capabilities for OpenCode by analyzing local images (PNG, JPG, WebP, GIF, HEIC, SVG) using the Google Gemini API.