Mcp-Go

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mcp-go is an AI Agents & Automation tool that provides a Go implementation of the Model Context Protocol (MCP). It enables seamless integration between LLM applications and external data sources and tools, simplifying the creation of AI-powered workflows.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is mcp-go?

mcp-go is a Go implementation of the Model Context Protocol (MCP), designed to facilitate seamless integration between Large Language Model (LLM) applications and external data sources and tools. It acts as a standardized way to connect LLMs with various resources, enabling the creation of sophisticated AI-powered IDEs and custom AI workflows. The tool handles complex protocol details and server management, allowing developers to focus on building robust tools and resources. Key features include a high-level interface for faster development, minimal boilerplate for building MCP servers, and a comprehensive implementation of the core MCP specification. It supports both synchronous and asynchronous tool execution, including task-augmented tools for long-running operations, and allows for limiting concurrent tasks to prevent resource exhaustion.

Best used for

Ideal for developers and data scientists who need to integrate LLM applications with external data sources and tools, and build custom AI workflows. Especially valuable for creating AI-powered IDEs or automating complex tasks with robust, scalable solutions.

Common actions

integrate LLMs

build AI agents

manage AI tools

connect data sources

deepfakeopen-sourcecollaborationautomated workflowworkflowslow-code/no-codeface swappinggithub copilot"AI Agents"

Capabilities

Key features

Go MCP implementation
LLM application integration
External data source connection
Tool execution management
Asynchronous task support
Concurrent task limiting

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the Model Context Protocol (MCP) that mcp-go implements?

The Model Context Protocol (MCP) is a specification that allows you to build servers exposing data and functionality to LLM applications in a secure, standardized way. It defines how LLMs interact with external resources and tools, similar to a web API but tailored for LLM interactions.

Can mcp-go handle long-running operations with LLMs?

Yes, mcp-go supports task-augmented tools, which execute asynchronously and return results via polling. This is ideal for long-running operations that might otherwise block or time out, ensuring efficient and non-blocking interactions with LLM applications.

How does mcp-go help prevent resource exhaustion from too many tasks?

mcp-go allows you to limit the number of concurrent running tasks. By setting a maximum, new task creation requests will fail if the limit is reached, preventing your server from being overwhelmed and ensuring stable performance.

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