Developer Tools MCPサーバー
developer tools向けの厳選されたMCPサーバーコレクションをご覧ください。6480個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Calista Research LLMs
Enables on-device and cloud language models to collaborate, reducing cloud costs while maintaining quality by reading long contexts locally.
Todo.txt
Enables managing todo.txt files through natural language using AI assistants like Claude Desktop.
Prompt
Manages tasks through the Model Context Protocol (MCP).
Blockchain Query
Queries Bitcoin data from Blockchain.com APIs via a Model Context Protocol (MCP) server.
Image Processor
Optimizes, converts, and uploads images to Vercel Blob storage.
Osmmcp
Provides precision geospatial tools for large language models (LLMs) through the Model Context Protocol (MCP).
Amazon LP
Provides a Model Context Protocol server for accessing Amazon Leadership Principles and their associated video transcripts.
Etabs Documentation Assistant
Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
Github
Documents the setup and configuration process for a GitHub Model Context Protocol (MCP) server.
Client-Server With LLM Command Execution
Executes commands on a client-server architecture using an LLM.
Ingest
Ingests APIs, SDKs, and schemas for consumption by AI models via the Model Context Protocol (MCP).
D747d
Experiments with Model Context Protocol server implementations.
Vibe Check
Detects AI coding anti-patterns in real-time to prevent costly overengineering.
Salesforce
Containerizes the Salesforce MCP Server to streamline REST API integration.
Context Bank
Interfaces with the AtherOS knowledge base via the Model Context Protocol (MCP) to create chat sessions and send queries.
GitHub Bridge
Enables AI agents to securely access and manage GitHub Enterprise data, including users, organizations, and licenses.
Swagger
Emulates a Swagger Petstore API using a dynamic Model Context Protocol (MCP) server.
Local Relay
Bridges local MCP clients, like Claude Desktop, with remote MCP Servers via standard input/output.
Popmelt
Provides a framework for next-generation AI personalization that maintains consistent design and interaction patterns.
Mcsmcp
Deploys and tests Model Context Protocol (MCP) servers with Microsoft Copilot Studio for enhanced AI integration.
Scroll for more results...