Developer Tools MCP Servers

Image Extractor

Enables LLMs in agent mode to analyze images by extracting and converting them to base64.

Continuity Server Fixed

Manages project state and continuity for Claude Desktop, updated for compatibility with MCP SDK 1.7.0.

Web3 Function Plugin

Enables Anthropic's MCP to interact with web3 functionalities.

Files-DB

Provides LLM coding agents with vector search capabilities for software projects via the Message Control Protocol (MCP).

Assistant

Analyzes tasks and recommends appropriate tools by integrating with Large Language Models.

Standard Bots

Enables control and management of Standard Bots routines via an MCP server.

AI Agents Boilerplate

Provides a beginner-friendly guide to creating self-operating AI agents using Python, the OpenAI API, and ReAct prompts.

Hs-mcp

Provides a Haskell implementation of the Model Context Protocol for building MCP-compatible servers and clients.

Stateset

Enables LLMs to interact with StateSet's issue operations system through the Model Context Protocol (MCP).

UNO

Enhances text by applying literary techniques and heuristic analysis to transform ordinary story content into rich, detailed narratives.

XPath

Evaluates XPath queries on XML and HTML content, both from strings and URLs.

Wiki

Facilitates building custom extensions for the Goose AI Agent.

Python Tutorial

Provides a tutorial app for Model Context Protocol (MCP) in Python, demonstrating core MCP concepts with a simple local database.

Specif AI

Runs a Model Context Protocol (MCP) server over stdio for Specif-ai.

Mcp Base

Provides a generic Model Context Protocol framework for building AI-powered applications.

CMMV

Implements the Model Context Protocol (MCP) for CMMV applications, enabling standardized interactions between large language models and applications.

Kickstart

Provides an interactive tutorial to learn Model Context Protocol (MCP) development.

Perplexity Insight

Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.

HuLa

Provides a Model Context Protocol (MCP) server implementation for the HuLa instant messaging application, enabling contextual awareness and functional support.

Lodestar

Provides a foundation for creating Model Context Protocol (MCP) servers using Python.