Developer Tools MCP 服务器

Twitter Integration

Enables AI models and applications to interact directly with the Twitter/X platform.

Perplexity Search

Integrates Perplexity's AI API with Large Language Models via the Model Context Protocol (MCP).

Mathematica Documentation

Enables checking Mathematica code via a local Mathematica installation.

Cypress Page Object & Test Generator

Automatically generates Cypress Page Object classes and comprehensive test suites for any web page.

Roslyn Code Analysis

Analyzes C# code using the Roslyn compiler platform to validate files, find symbol references, and perform static analysis.

AWS Service Reference

Provides access to AWS programmatic service authorization information, including services, actions, condition keys, and resource types.

Directory Indexer

Transforms local directories into an AI-powered knowledge base, enabling semantic search for documents based on meaning.

Tesla

Connects to the Tesla Fleet API, enabling AI assistants to control and interact with Tesla vehicles.

GoldRush

Exposes Covalent's GoldRush APIs as Model Context Protocol (MCP) resources and tools for large language models.

Marimo Docs

Provides programmatic access to the Marimo documentation.

Eraser Diagram Renderer

Renders diagrams from code using the Eraser API via a Python MCP server and CLI tool.

Eth

Query the Ethereum blockchain for data using standard JSON-RPC methods.

Memory Keeper

Manages persistent context for AI coding assistants within an MCP server environment.

Gpt Http Proxy

Provides HTTP access to Multiple Command Protocol (MCP) tools via a REST API.

Fabric

Exposes Fabric patterns as tools for AI-driven task execution within Cline.

Tabular

Enables communication between clients and Power BI tabular models for debugging, analysis, and DAX query composition.

Web QA Agent

Automates web application testing workflows within AI coding assistants via natural language prompts.

Gemini CLI

Provides a command-line interface for interacting with Google Gemini models, enabling tool usage and persistent semantic memory.

CrateDB

Enables Large Language Models (LLMs) to directly interact with CrateDB databases.

Github

Enables AI assistants to manage GitHub repositories, issues, pull requests, and code through a structured interface for LLM agents.