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。18204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。
Enables interaction with Jira using natural language to manage projects and issues.
Enables creation and management of tasks and projects within the Things3 macOS application using the Model Context Protocol (MCP).
Automates resume updates by analyzing coding projects using AI.
Enables communication between Ashra and applications supporting the Model Context Protocol.
Enables persistent memory for Claude by utilizing a local knowledge graph to store and retrieve information.
Connect AI assistants like Claude to Atlassian Jira for accessing and managing projects and issues.
Implements a Model Context Protocol server using the WordPress REST API.
Delivers jobs based on specified needs via a simple MCP server.
Enables AI coding assistants to interact with Pinecone projects and documentation, enhancing the developer experience.
Enables AI assistants to access and interact with content from Dev.to.
Enhances AI reasoning with structured thinking, persistent memory, and responsible tool usage.
Access and manage Kibana instances through natural language or programmatic requests within an MCP-compatible client.
Provides LLM tools to search and retrieve comprehensive clinical trial data from the official ClinicalTrials.gov REST API.
Generates dynamic ECharts chart pages on demand via an MCP service.
Empowers developers to build and integrate custom external tools with Puch AI using the Model Context Protocol (MCP).
Offers a Model Context Protocol server for embedded debugging, providing AI assistants with comprehensive capabilities for ARM Cortex-M and RISC-V microcontrollers via various probes.
Provides a comprehensive multimodal AI toolkit, integrating powerful capabilities from Zhipu GLM and Pollinations.AI for advanced media analysis and generation.
Transforms VSCode into a Model Context Protocol server, enabling external clients to remotely execute internal commands and query workspace information.
Provides sandboxed file system access for AI agents to explore directories, read, search, and safely edit text-based files.
Enhances dbt project health by auditing coverage, profiling data, detecting schema drift, and auto-generating documentation via natural language AI interaction.
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