JupyterMCP - Alternatives & Competitors

Enable direct Claude AI integration with Jupyter Notebook via the Model Context Protocol.

JupyterMCP integrates Jupyter Notebook (version 6.x) with Claude AI using the Model Context Protocol, enabling real-time interaction between AI models and live notebooks. It facilitates two-way communication, allowing Claude AI to execute code, manipulate cells, and retrieve outputs directly within the notebook. The system comprises a WebSocket server, client-side JavaScript, and an MCP server for seamless protocol implementation. Designed for developers and data scientists, it brings advanced AI assistance into interactive notebook environments.

#Jupyter Notebook #Claude AI integration #Interactive notebooks #WebSocket server #code-execution #Real-time AI

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  • 1
    QGISMCP

    QGISMCP

    Integrate QGIS with Claude AI via Model Context Protocol

    QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), enabling seamless two-way communication between the GIS platform and the AI assistant. It features a QGIS plugin that sets up a socket server and a dedicated MCP server for processing commands, facilitating tasks such as project manipulation, layer management, and Python code execution directly from Claude. This integration empowers users to streamline project creation, layer loading, and advanced automation within QGIS through AI-driven interaction.

    691 99 MCP
  • 2
    Dune Analytics MCP Server

    Dune Analytics MCP Server

    Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

    Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

    31 8 MCP
  • 3
    MCP Server for Data Exploration

    MCP Server for Data Exploration

    Interactive Data Exploration and Analysis via Model Context Protocol

    MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

    503 63 MCP
  • 4
    MCP Jira Server for Claude Code

    MCP Jira Server for Claude Code

    A full-featured Model Context Protocol server for integrating Jira with Claude Code.

    Provides a comprehensive MCP server enabling seamless integration of Jira functionalities with Claude Code. Supports issue management, sprint operations, comments, attachments, batch processing, and agile workflows via a standardized protocol for model context. Designed for secure, environment-based configuration and optimized for both individual and batch operations within Jira.

    5 5 MCP
  • 5
    Modbus MCP Server

    Modbus MCP Server

    Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

    Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

    18 7 MCP
  • 6
    youtube_mcp

    youtube_mcp

    YouTube transcription server with Model Context Protocol integration.

    youtube_mcp is a server that enables transcription of YouTube videos using the Model Context Protocol (MCP). Users can set up the server, authenticate via an MCP key, and stream video transcript data for integrated AI tools. Designed for use with applications like Claude desktop, it supports OpenAI APIs and utilizes browser cookies for access.

    26 3 MCP
  • 7
    YouTube MCP Server

    YouTube MCP Server

    Connect YouTube subtitles to Claude via the Model Context Protocol.

    YouTube MCP Server integrates with Claude AI by providing a bridge between YouTube subtitles and the Model Context Protocol. It utilizes yt-dlp to download video subtitles and makes this context accessible through MCP-compliant interactions with Claude. Designed for easy installation with mcp-installer, it enables Claude to process and summarize YouTube videos directly from their URLs.

    468 57 MCP
  • 8
    E2B MCP Server

    E2B MCP Server

    Add code interpretation to Claude Desktop apps with E2B Sandbox.

    E2B MCP Server provides code interpreting capabilities for the Claude Desktop application through integration with the E2B Sandbox. It offers both JavaScript and Python editions for flexibility in development. The solution can be easily installed via the Smithery tool, streamlining setup and integration. The server enables seamless execution and management of code within AI-powered desktop environments.

    346 56 MCP
  • 9
    Context Apps MCP

    Context Apps MCP

    AI-powered productivity suite unified by the Model Context Protocol.

    Context Apps MCP is an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer applications through the Model Context Protocol, enabling smart, context-driven workflows with apps like Claude Desktop and other MCP-compatible clients. It allows users to manage tasks, develop ideas, analyze journals, and optimize productivity using AI, all accessible and integrated via MCP-compliant endpoints. The suite ensures secure authentication via Apple ID OAuth, provides end-to-end encrypted communication, and offers users complete control over their data.

    5 2 MCP
  • 10
    box-mcp-server

    box-mcp-server

    Expose your Box files to AI with a Model Context Protocol server.

    box-mcp-server lets users connect their Box accounts to AI applications via the Model Context Protocol (MCP). It securely authenticates to Box with enterprise credentials or developer tokens and serves file search and reading capabilities to downstream clients. Designed for use with Claude Desktop and the MCP Inspector, it provides seamless integration of Box documents into AI workflows.

    10 11 MCP
  • 11
    Coincap MCP

    Coincap MCP

    Query live cryptocurrency data through Coincap's public API for desktop AI tools.

    Coincap MCP provides seamless access to cryptocurrency market data from Coincap's public API without requiring API keys or registration. Designed to integrate with Claude Desktop using the Model Context Protocol (MCP), it enables users to query crypto asset prices, market capitalization, and a list of available assets. Installation and configuration are streamlined through Smithery or direct setup. The tool includes sample prompts and exposes specialized tools for crypto price lookup and asset listing.

    89 29 MCP
  • 12
    Apple Notes MCP Server

    Apple Notes MCP Server

    Enables Claude Desktop to access and interact with local Apple Notes.

    Apple Notes MCP Server reads and provides access to local Apple Notes databases for use in Claude Desktop. It allows querying all notes, retrieving specific note content, and searching notes, facilitating deeper context integration for AI workflows. The server operates under the Model Context Protocol (MCP) and is designed for straightforward installation and integration. Currently, it supports reading and searching but does not handle encrypted notes, attachments, or note creation/editing.

    121 14 MCP
  • 13
    Advanced Unity MCP from Code Maestro

    Advanced Unity MCP from Code Maestro

    Control Unity with AI through natural language commands.

    Advanced Unity MCP from Code Maestro enables direct interaction with the Unity Editor using natural language commands powered by AI. It bridges AI assistants like Code Maestro Desktop App, GitHub Copilot, Cursor, and others to the Unity Editor using the Model Context Protocol (MCP). Users can automate Unity tasks such as asset management, scene configuration, building projects, and more without manual intervention. The system supports both direct and relay server connections for flexible integration with various AI clients.

    70 5 MCP
  • 14
    MetaTrader MCP Server

    MetaTrader MCP Server

    Let AI assistants trade for you using natural language.

    MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.

    120 34 MCP
  • 15
    spotify-mcp

    spotify-mcp

    Connect Claude with Spotify through the Model Context Protocol.

    spotify-mcp is an MCP server designed to link Claude-powered AI interfaces with Spotify, enabling advanced music control and information retrieval. It supports actions like starting, pausing, and skipping playback, searching and retrieving details for tracks, albums, artists, and playlists. The project supports managing Spotify queues and playlists, leveraging the official Spotipy API. Configuration guidance for MCP-enabled clients and local/hosted deployment options are provided.

    528 101 MCP
  • 16
    LLM Context

    LLM Context

    Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

    LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

    283 26 MCP
  • 17
    OPC UA MCP Server

    OPC UA MCP Server

    Bridge AI agents with OPC UA industrial systems in real time.

    OPC UA MCP Server enables seamless integration of AI agents with OPC UA-enabled industrial automation systems. It provides real-time monitoring, analysis, and control of operational data through a set of standardized tool APIs. Supporting both reading and writing of OPC UA nodes, the server facilitates natural language interaction by exposing tools for AI-driven automation and control workflows.

    20 8 MCP
  • 18
    WSB Analyst MCP Server

    WSB Analyst MCP Server

    Real-time WallStreetBets data analysis for AI model integration

    WSB Analyst MCP Server provides real-time access to WallStreetBets data, enabling detailed analysis of posts, comments, and shared resources. It integrates seamlessly with Claude Desktop and other MCP-compatible clients, allowing AI models to leverage structured Reddit data. Users can gather insights through customizable prompt templates and benefit from features like progress reporting and advanced filtering. The server ensures smooth context management between Reddit data streams and language models.

    19 7 MCP
  • 19
    MCPR

    MCPR

    Stateful Human-AI Collaboration and Persistent R Sessions

    MCPR enables AI agents to establish interactive, persistent sessions within a live R environment, allowing for stateful, multi-step analytical workflows. By leveraging JSON-RPC 2.0 over `nanonext` sockets, it facilitates robust, asynchronous communication and exposes R session functionalities as modular tools. The framework includes session management, service discovery, and advanced plot rendering capabilities, making it ideal for collaborative and iterative data analysis.

    16 5 MCP
  • 20
    Rember MCP

    Rember MCP

    Let Claude create and manage flashcards from your chats and PDFs using Rember's spaced repetition.

    Rember MCP enables integration between Claude and the Rember platform using the official Model Context Protocol (MCP). It allows users to generate flashcards from conversations or PDF documents and manage them with Rember's spaced repetition system. The tool can be run as a local MCP server which is easily configurable within Claude Desktop. It emphasizes effective tool descriptions, user guidance, and robust error handling strategies.

    57 7 MCP
  • 21
    DAO Proposals MCP

    DAO Proposals MCP

    Aggregates live DAO governance proposals for AI agents via MCP.

    DAO Proposals MCP is an MCP server that aggregates and serves real-time governance proposals from major DAOs using the Snapshot platform. It enables AI agents to track, analyze, and act on decentralized decision-making processes by exposing standardized tools for listing spaces, retrieving proposals, and fetching proposal details. The server also supports prompt generation to summarize proposals and integrates seamlessly with Claude Desktop applications.

    2 3 MCP
  • 22
    Crypto Liquidations MCP

    Crypto Liquidations MCP

    Streams real-time Binance liquidation events to AI agents via MCP.

    Crypto Liquidations MCP is an MCP server that streams real-time cryptocurrency liquidation events from Binance. It provides tools for retrieving the latest liquidations in a user-friendly Markdown table and generates prompts for AI agents to analyze market trends. The server maintains an in-memory record of up to 1000 recent events and is designed for easy integration with MCP clients such as Claude Desktop.

    3 5 MCP
  • 23
    Jupyter MCP Server

    Jupyter MCP Server

    Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

    Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

    765 127 MCP
  • 24
    blender-mcp

    blender-mcp

    Seamless integration between Blender and Claude AI using the Model Context Protocol.

    BlenderMCP enables direct interaction between Blender and Claude AI by leveraging the Model Context Protocol (MCP). It allows users to create, manipulate, and inspect 3D scenes in Blender through natural language commands sent to Claude, which communicates with Blender via a custom socket server and an addon. The solution features two-way communication, object and material manipulation, code execution within Blender, and easy integration with tools like Cursor, Visual Studio Code, and Claude for Desktop.

    13,092 1,232 MCP
  • 25
    MCP Claude Code

    MCP Claude Code

    Claude Code-like functionality via the Model Context Protocol.

    Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

    281 33 MCP
  • 26
    cloudflare/mcp-server-cloudflare

    cloudflare/mcp-server-cloudflare

    Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

    Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

    2,919 251 MCP
  • 27
    mcpmcp-server

    mcpmcp-server

    Seamlessly discover, set up, and integrate MCP servers with AI clients.

    mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

    17 6 MCP
  • 28
    VS Code MCP Server

    VS Code MCP Server

    Connect Claude and other MCP clients to code directly in VS Code.

    VS Code MCP Server is a Visual Studio Code extension that enables AI coding agents, such as Claude, to interact with a user's codebase through the Model Context Protocol. It provides VS Code-specific capabilities like symbol search and document outlines, leveraging the editor's built-in features. The server communicates using a streamable HTTP MCP API and can execute shell commands for advanced operations. It is ideal for extending the coding capabilities of AI models without duplicating existing developer tools.

    280 54 MCP
  • 29
    MCP Server for Iaptic

    MCP Server for Iaptic

    A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

    MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

    5 7 MCP
  • 30
    mcp-server-js

    mcp-server-js

    Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

    YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

    31 13 MCP
  • 31
    ACP to MCP Adapter

    ACP to MCP Adapter

    Bridge ACP Agents with MCP Applications Seamlessly

    ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.

    30 5 MCP
  • 32
    mcp

    mcp

    Universal remote MCP server connecting AI clients to productivity tools.

    WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

    27 6 MCP
  • 33
    mcp-server-atlassian-jira

    mcp-server-atlassian-jira

    Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.

    Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

    39 16 MCP
  • 34
    LLDB-MCP

    LLDB-MCP

    AI-assisted debugging with LLDB via Model Context Protocol integration

    LLDB-MCP enables integration of the LLDB debugger with Claude's Model Context Protocol, allowing for direct control and interaction with LLDB debugging sessions through AI. The tool offers a suite of commands for managing sessions, examining program state, and controlling execution. It facilitates natural language interaction with LLDB, streamlining tasks such as loading executables, setting breakpoints, and analyzing stack traces. Designed for seamless AI-assisted debugging workflows, LLDB-MCP enhances productivity by bridging advanced debugging capabilities with AI-driven interfaces.

    63 7 MCP
  • 35
    YCloud WhatsApp API MCP Server

    YCloud WhatsApp API MCP Server

    Bridge YCloud WhatsApp API to AI models via Model Context Protocol.

    YCloud WhatsApp API MCP Server enables seamless integration between the YCloud WhatsApp OpenAPI and AI models using the Model Context Protocol (MCP). It dynamically generates MCP tools from the OpenAPI specification, supporting interaction with all YCloud API endpoints. The server includes built-in handling for API authentication, parameter validation, and HTTP request/response management, and can be easily integrated with Claude desktop applications. Environment variable configuration allows flexible deployment and usage.

    8 6 MCP
  • 36
    Alkemi MCP Server

    Alkemi MCP Server

    Integrate Alkemi Data sources with MCP Clients for seamless, standardized data querying.

    Alkemi MCP Server provides a STDIO wrapper for connecting Alkemi data sources—including Snowflake, Google BigQuery, and Databricks—with MCP Clients using the Model Context Protocol. It facilitates context sharing, database metadata management, and query generation through a standardized protocol endpoint. Shared MCP Servers allow teams to maintain consistent, high-quality data querying capabilities without needing to replicate schemas or query knowledge for each agent. Out-of-the-box integration with Claude Desktop and robust debugging tools are also included.

    2 1 MCP
  • 37
    @bldbl/mcp

    @bldbl/mcp

    Official MCP client for integrating AI assistants with Buildable projects.

    @bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

    8 7 MCP
  • 38
    iterm-mcp

    iterm-mcp

    MCP server for sharing and controlling your iTerm session with AI models.

    iterm-mcp is a Model Context Protocol (MCP) server that enables AI models to access, inspect, and control an active iTerm terminal session. It allows models to read terminal output, write commands, interact with REPLs, and send control characters directly to the terminal. Designed for efficient token usage and seamless integration with desktop AI clients like Claude Desktop, iterm-mcp can be installed easily and comes with minimal dependencies. The tool emphasizes user oversight and provides debugging support through the MCP Inspector.

    481 53 MCP
  • 39
    MCP GitLab Jira Server

    MCP GitLab Jira Server

    MCP server for seamless GitLab and Jira integration

    MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

    6 4 MCP
  • 40
    OpsLevel MCP Server

    OpsLevel MCP Server

    Read-only MCP server for integrating OpsLevel data with AI tools.

    OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

    8 7 MCP
  • 41
    MCP Server for Milvus

    MCP Server for Milvus

    Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

    MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

    196 57 MCP
  • 42
    Chronulus MCP

    Chronulus MCP

    Connect Chronulus AI Forecasting & Prediction Agents to Claude via the Model Context Protocol.

    Chronulus MCP provides an MCP server enabling Claude users to interact with Chronulus AI forecasting and prediction agents. It allows seamless integration through multiple methods including pip, docker, and uvx, offering flexibility in deployment. The tool is designed to fit into the Claude desktop client's model context protocol configuration, streamlining the usage of Chronulus AI’s predictive capabilities in various workflows.

    103 19 MCP
  • 43
    GitMCP

    GitMCP

    Instantly turn any GitHub repository into an AI-ready documentation hub.

    GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

    6,916 571 MCP
  • 44
    Sequa MCP

    Sequa MCP

    Bridge Sequa's advanced context engine to any MCP-capable AI client.

    Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

    16 3 MCP
  • 45
    Supabase MCP Server

    Supabase MCP Server

    Connect Supabase projects to AI assistants using the Model Context Protocol.

    Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

    2,263 253 MCP
  • 46
    dbt MCP Server

    dbt MCP Server

    Bridge dbt projects and AI agents with rich project context.

    dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

    420 90 MCP
  • 47
    Mermaid MCP Server

    Mermaid MCP Server

    AI-powered natural language to Mermaid diagram server via Model Context Protocol

    Mermaid MCP Server enables seamless integration with AI assistants, allowing users to generate professional architecture diagrams, flowcharts, and more using natural language. It implements the Model Context Protocol (MCP), providing a standardized interface for AI tools like GitHub Copilot and Claude to interact with diagram generation workflows. The server offers over 50 pre-built templates, fast SVG rendering, and broad integration support across VS Code, CLI, and desktop applications.

    3 1 MCP
  • 48
    codemcp

    codemcp

    Turn Claude into a hands-on pair programming assistant with direct code editing capabilities.

    codemcp integrates Claude with a user's local codebase, enabling the AI to directly implement features, fix bugs, refactor code, and run tests by making live edits to files. It emphasizes safety and auditability by forbidding unrestricted shell access and versioning all LLM-driven changes using Git. The tool is IDE agnostic and designed for use with Claude Pro, focusing on cost-efficient, high-autonomy agent workflows. Command usage is user-approved via configuration, enhancing security while allowing automated operations.

    1,572 135 MCP
  • 49
    InfluxDB MCP Server

    InfluxDB MCP Server

    Expose InfluxDB data and tools to AI models via the Model Context Protocol.

    InfluxDB MCP Server is a Model Context Protocol (MCP) server that enables AI models to access, write, and manage time-series data stored in InfluxDB instances through a standardized API. It provides resources for organizations, buckets, and measurements, as well as tools for running Flux queries, writing data, and managing InfluxDB objects. The server includes prompt templates for common query operations and supports seamless integration with AI platforms like Claude Desktop. Easy installation options are offered via Smithery, npx, npm, or from source.

    27 12 MCP
  • 50
    MCP Language Server

    MCP Language Server

    Bridge codebase navigation tools to AI models using MCP-enabled language servers.

    MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

    1,256 94 MCP

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