Developer Tools MCP Repositories
827 repositories in this category.
go
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Facilitates the development and deployment of Go applications within a containerized environment, optimizing performance and simplifying management processes. Provides tools for building and running Go projects with minimal setup.
mcp_code_executor
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Execute Python code within a specified Conda environment, enabling access to libraries and dependencies. Supports incremental code generation for handling large code blocks that may exceed token limits.
dify-plugin-mcp_compat_dify_tools
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Transforms Dify tools' APIs into MCP compatible APIs, supporting `HTTP with SSE` and `Streamable HTTP` protocols, enabling broader integration and usage of existing tools within the MCP framework.
express-mcp-server-echo
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Stateless MCP server that echoes messages back to users, facilitating interaction with the Model Context Protocol. Built with Express.js and TypeScript, it provides a reliable API for testing and demonstrating MCP functionalities.
bruno-api-mcp
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Expose Bruno API collections as MCP tools for interaction through the MCP protocol, enabling streamlined access to data and functionalities. Integrate and debug APIs efficiently by collocating source code with data sources for seamless operations.
mcp-server-docker
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Manage Docker containers using natural language commands, facilitating the composition of containers, introspection and debugging of running instances, and management of persistent data through Docker volumes.
kube-mcp
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Seamlessly connect to and manage Kubernetes clusters by integrating AI agents for the automation of Kubernetes resources. Provides development and testing support with Minikube and a Kubernetes Python client.
mcp-server-mas-sequential-thinking
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Collaborate with a team of specialized agents to enhance problem-solving through a dynamic analysis of ideas. This system processes and synthesizes thoughts for nuanced and evolving interactions.
reference-servers-check
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Explore a variety of implementations that enhance Large Language Models with secure access to tools and data sources. Integrate advanced functionalities into applications using the provided reference implementations of the Model Context Protocol.
mcp-gateway
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Intermediary that centralizes multiple MCP servers, managing their configurations and lifecycle while sanitizing sensitive data in requests and responses. Provides a unified interface for interaction and monitoring of MCP interactions with risk assessment and usage analytics.
bilibii-mcp-server
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Query Bilibili user follower counts by providing their user ID, with support for error handling and detailed logging. The server can be integrated with AI models like Claude and GPT using the MCP protocol.
cursor-mcp-installer
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Installs and configures MCP servers directly within the Cursor IDE, enabling rapid integration of new functionalities into the development environment. Users can request the installation of any desired MCP server through the IDE interface.
FIWARE-MCP-Server
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Bridge applications with the FIWARE Context Broker to perform CRUD operations on entities and manage context data. It supports context broker version checking, query capabilities, and entity publishing and updating.
jupyter-notebook-mcp
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Connects Jupyter Notebook to Claude AI through the Model Context Protocol, facilitating direct interaction to execute code, analyze data, and create visualizations within the notebook interface.
mcp-graphql
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Interact with GraphQL APIs by performing schema introspection and executing queries. Enhance applications through dynamic discovery and utilization of GraphQL capabilities.
mcp_superiorapis_local
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Dynamically fetch and generate tool functions from SuperiorAPIs using fetched plugin metadata and OpenAPI schemas. Execute API calls with asynchronous processing and runtime tool registration.
figma-mcp-toolkit
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Integrate and interact with Figma's API to convert Figma designs into React Native components, facilitating seamless connection and automation between design and development processes.
mcp-mistral-codestral
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Provides code completion, bug fixing, and automated test generation capabilities using Mistral's Codestral API, supporting multiple programming languages and ensuring comprehensive input validation.
n8n-workflow-builder
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Manage n8n workflows programmatically by listing, creating, updating, deleting, activating, and deactivating them.
mcp-server-adfin
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Integrates with Adfin's public APIs to streamline financial tasks such as invoice creation and credit control checks. Provides real-time access to relevant financial data and tools for enhanced workflow efficiency.
vrchat-mcp-osc
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Enables interaction with VRChat avatars and environments through a high-level API, utilizing OSC for communication. Facilitates control of avatar parameters, movement, messaging, and responses to VR events for enhanced virtual reality experiences.
MCP-PIF
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Implement structured tools for meaningful human-AI interaction, facilitating progressive interaction patterns and development of understanding through the Model Context Protocol.
python-mcp
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Analyze and extract Python code structures with a focus on import relationships between files, while providing relevant code sections and project documentation for enhanced development workflows.
sleep-mcp
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Introduces delays in operations for managing timing between API calls or testing systems that require eventual consistency. Utilizes a simple sleep function to wait for specified durations in milliseconds.
mcp-multilspy
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Expose Language Server Protocol capabilities for language intelligence features, enabling retrieval of code completions, definitions, and references across various programming languages. Supports static analysis and facilitates easy integration with MCP-compatible clients.
obfusgator
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Obfusgator is a tool for obfuscating Zig programs, allowing users to easily obscure the code of existing Zig files or run the tool on itself for obfuscation.
mcp_server
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Enables standardized context interaction between AI models and development environments, enhancing scalability and maintainability. Provides efficient API endpoints for model deployment, input/output consistency, and management of AI tasks.
deep-directory-tree-mcp
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Visualizes and analyzes directory structures with real-time updates, configurable depth, and smart exclusions. Enhances project navigation and organization insights for AI assistants.
eigenlayer-mcp-server
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Provides detailed EigenLayer documentation to AI assistants through a dedicated server interface, enabling seamless integration and querying of EigenLayer concepts and mechanisms.
gemini-thinking-mcp
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Leverage the advanced reasoning capabilities of the Gemini model for quick and accurate problem-solving. Engage in structured thinking and step-by-step analysis to enhance decision-making processes.
