Polymcp provides a simple and efficient way to interact with MCP servers using custom agents
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Updated
Mar 2, 2026 - TypeScript
Polymcp provides a simple and efficient way to interact with MCP servers using custom agents
.NET MCP bridge: expose app methods/data as MCP tools, prompts, and resources via an in-app plugin + lightweight server (SignalR; stdio/http).
A structured data reader and writer like 'jq' and 'yq' for AI Agents
An MCP Server powered by Searchcraft – the developer-first vertical search engine.
Apache JMeter sampler plugin for load testing Model Context Protocol (MCP) servers over stdio, HTTP, and HTTP+SSE.
Enhanced Odoo MCP server (STDIO, SSE, Streamable HTTP)
This educational demo teaches the Model Context Protocol (MCP) - a protocol for AI assistants to interact with external tools and data sources.
Modbus TCP MCP server in Go with stdio/SSE/streamable transports, resilient reconnects, and typed read/write tools for holding registers and coils.
MusicPlayerMcp is a local Model Context Protocol (MCP) server that enables AI assistants to play music on a user's computer using natural language commands.
MCP-CLI is a command-line tool for interacting with and testing Model Context Protocol (MCP) servers.
A Model Context Protocol (MCP) server for SBCL and ECL Common Lisp that enables deep debugging, introspection, profiling, and hot code reloading for SBCL applications.
An end-to-end example demonstrating how to use Model Context Protocol (MCP) over STDIO in .NET to expose server-side tools and consume them from a client, then feed tool results into a local Ollama-hosted LLM for reasoning and response generation.
Solace SEMP MCP for broker operations and monitoring
Obsidian MCP Note System for knowledge management, planning, and decision tracking.
A TypeScript client implementation of the Model Context Protocol (MCP)
Playwright Model Context Protocol Server - Tool to automate Browsers and APIs in Claude Desktop, Cline, Cursor IDE and More 🔌
A tool which bridges STDIO-based MCP tools, to SSE, intelligently bringing tens of thousands of new tools to your AI's fingertips (wrapped with progressive-disclosure, so zero token wastage!)
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