Working MCP libs

mcp server 테스트

MCP Servers

mcp server

Model Context Protocol implementation in Go

Building mcp servers , just exploring

Everything you wanted to know about Cline's MCP but were afraid to ask.

Containerized, token-driven integrations for Slack, Notion, and GitHub via Docker, enabling quick setup and automated workflows.

07 make your mcp server

Command-line tool to manage Claude’s MCP filesystem server directories and config, preserving other servers while updating filesystem settings.

Lightweight, extensible context-processing tool enabling DeanMachines to integrate dynamic intents with plugin-based customization.

Plan-then-execute cognitive bridge blending DeepSeek R1 reasoning with Claude execution for structured, confidence-aware analyses and streaming explanations.

MCP server for processing Kafka events and providing event-driven functionality through the Model Context Protocol.

Automates Clarion IDE tasks and builds with MSBuild, offering project generation, TXA/dictionary handling, and template lifecycle management.

Web3-focused MCP server with pluggable adapters for wallets, on-chain identity, and secure context provisioning.

Provisions in-browser WebContainer instances on demand via MCP, enabling isolated, API-driven code execution and seamless browser IDE integration.

Customizable, modular Model Context Protocol hub with efficient context handling and plugin integration.

mcp server agent

MCP server which provides IBM Cloud as a tool for use by LLM's, eg. via Anthopic Claude Desktop or map-cli (open source).

Python-based toolkit consolidating protocol-oriented utilities into a single package for fast development and testing.

Python-based example demonstrating a prompt-driven client workflow with a minimal interface and runnable commands.

Programmatic access to Canvas announcements via MCP with formatting, summarization, pagination, and LLM-friendly workflows.

Rust-based tool discovery for GitHub via JSON-RPC, enabling fast enumeration and access to repository tooling with seamless integration.

Kafka-backed integration enabling real-time event processing and seamless model interactions via the Model Context Protocol.