Developer Tools Servidores MCP
Descubre nuestra colección curada de servidores MCP para developer tools. Explora 7359 servidores y encuentra los MCP perfectos para tus necesidades.
All-In-One
Provides an all-in-one Model Context Protocol (MCP) server with AI search, RAG, and integrations for services like GitLab, Jira, and Confluence.
Ai-Command
Enables AI interactions with WordPress installations during development using the Model Context Protocol.
LMStudio Bridge
Enables Claude to interact with locally running LLM models through LM Studio by providing a Model Control Protocol (MCP) server.
Jupyter Notebook
Enables AI agents within Cursor to interact with and manipulate Jupyter Notebook files.
Chronulus Agents
Enables chatting with Chronulus AI forecasting and prediction agents within Claude.
Trello
Enables interaction with Trello boards via the Model Context Protocol.
Ollama MCP Client
Enables local LLMs to interact with Model Context Protocol (MCP) servers using Ollama, facilitating tool use.
Next.js Router Analyzer
Analyzes Next.js app directories to extract information about API routes, including paths, methods, and schemas.
Anki
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Datadog
Integrate with the Datadog API to manage incidents, monitors, logs, dashboards, metrics, traces, and hosts.
Web3
Provides simple RPC endpoints for interacting with multiple blockchains including Solana, Ethereum, THORChain, XRP Ledger, TON, Cardano, and UTXO chains.
Esp
Build simple projects with logging and automatically fix issues based on logs for esp-idf build commands.
BSC
Facilitates secure transactions on the Binance Smart Chain, enabling native BNB and BEP-20 token transfers.
Xtquantai
Integrates AI assistants with the xtquant quantitative trading platform via the Model Context Protocol (MCP), providing AI access to trading data and functionalities.
Wazuh
Connects the Wazuh SIEM to applications needing contextual security data via the Model Context Protocol (MCP).
LogSeq
Enables AI assistants to interact with LogSeq graphs via its Local HTTP API.
Confluent
Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.
Flux UI
Provides reference information for Flux UI components to AI assistants via a Model Context Protocol (MCP) server.
ComfyUI
Enables AI agents to programmatically generate images with ComfyUI using the Model Context Protocol.
Remote Functions
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
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