MCP Tinybird (Deprecated) - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
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  InfluxDB MCP Server

  Model Context Protocol server for seamless InfluxDB 3 integration and management.

  InfluxDB MCP Server provides a Model Context Protocol (MCP) interface for interacting with InfluxDB version 3 across various deployment types, including Core, Enterprise, Cloud Dedicated, and Cloud Serverless. It offers a suite of tools and resources to perform operations such as writing and querying data, managing databases, tokens, and monitoring health status. Designed for use with MCP clients, it supports context-aware interactions and standardizes access to InfluxDB resources. User authentication, database management, and operational assistance are integrated for robust database workflows.

  21 7 MCP
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  Model Context Protocol Servers (Archived)

  Archived reference implementations of Model Context Protocol servers for various data sources.

  Provides historical reference implementations of servers that demonstrate features and SDK capabilities of the Model Context Protocol (MCP). Covers integrations with a variety of services such as AWS KB Retrieval, Brave Search, GitHub, Google Drive, PostgreSQL, Redis, and more. These implementations are no longer maintained and are intended solely for archival and educational purposes.

  180 108 MCP
• 4
  

  VictoriaMetrics MCP Server

  Model Context Protocol server interface for VictoriaMetrics time-series database.

  VictoriaMetrics MCP Server provides a Model Context Protocol (MCP) compliant interface to interact with VictoriaMetrics. It enables structured data writing, Prometheus format imports, and advanced querying capabilities within the VictoriaMetrics platform. The tool supports installation via Smithery and CLI, facilitating flexible integration. It offers endpoints for writing metrics, querying time series, retrieving labels, and label values.

  7 5 MCP
• 5
  

  Aiven MCP Server

  Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

  Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

  11 11 MCP
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  CockroachDB MCP Server

  Natural language interface for managing CockroachDB via MCP protocol

  CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.

  6 3 MCP
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  Query MCP server for Supabase

  Open-source MCP server for secure and managed Supabase project operations.

  Query MCP server provides an open-source implementation of the Model Context Protocol (MCP) for Supabase, enabling secure execution of SQL, schema management, and project administration directly from compatible IDEs. It offers robust safety measures, runtime SQL validation, and transaction handling, supporting collaboration across MCP clients. The server empowers developers to manage Supabase projects, users, and schema while ensuring built-in safety controls.

  811 99 MCP
• 8
  

  books-mcp-server

  A server implementation supporting Model Context Protocol integration with cherry-studio.

  books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

  5 2 MCP
• 9
  

  MCP-Twikit

  A Model Context Protocol server for Twitter search and interaction.

  MCP-Twikit is an MCP-compliant server that enables interaction with the Twitter platform via the Model Context Protocol. It supports functions such as searching tweets, analyzing sentiments across accounts, and retrieving a user's Twitter timeline. The tool is designed for integration with AI clients to facilitate structured, context-aware access to Twitter data.

  211 27 MCP
• 10
  

  OpenMCP

  A standard and registry for converting web APIs into MCP servers.

  OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

  252 27 MCP
• 11
  

  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
• 12
  

  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
• 13
  

  Open Data Model Context Protocol

  Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.

  Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.

  140 21 MCP
• 14
  

  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
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  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
• 16
  

  mcp-server-templates

  Deploy Model Context Protocol servers instantly with zero configuration.

  MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

  5 1 MCP
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  mindsdb

  Connect, unify, and query data at scale with an open-source AI platform.

  MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

  35,487 5,735 MCP
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  wizzy-mcp-tmdb

  Standardized MCP server to access and search The Movie Database content for AI clients.

  wizzy-mcp-tmdb is a Model Context Protocol (MCP) server implemented in JavaScript, designed to provide AI clients with tools to search and retrieve data from The Movie Database (TMDB). It offers standardized endpoints for multi-search, fetching detailed movie or TV information, and retrieving trending content. The server communicates over stdio and can be easily integrated into MCP-compatible clients via configuration. Comprehensive unit and integration tests ensure reliability across typical and edge-case API uses.

  0 3 MCP
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  1mcp-app/agent

  A unified server that aggregates and manages multiple Model Context Protocol servers.

  1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

  96 14 MCP
• 20
  

  Open Feishu MCP Server

  A Cloudflare-based remote MCP server with integrated Feishu OAuth authentication.

  Open Feishu MCP Server provides a fully functional remote Model Context Protocol (MCP) server with integrated Feishu OAuth support. It enables zero-configuration user authentication and context management via Feishu accounts and is optimized for usability and tool set performance. Designed for deployment on Cloudflare Workers, it offers scalable, secure connectivity with multiple clients and supports seamless integration with various tools and platforms.

  66 9 MCP
• 21
  

  MCP Rubber Duck

  A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

  MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

  56 7 MCP
• 22
  

  mcp-access-point

  Bridge HTTP services with Model Context Protocol (MCP) clients seamlessly.

  MCP Access Point acts as a lightweight gateway that enables direct communication between MCP-compatible clients and traditional HTTP services without requiring server-side modifications. Built on the high-performance Pingora proxy library, it supports protocol conversion between HTTP, SSE, and MCP, supporting multi-tenancy and customizable routing. It empowers various MCP clients, such as Cursor Desktop, MCP Inspector, and VS Code, to interact with existing APIs efficiently. Configuration is flexible via YAML, and deployment is possible both locally and through Docker.

  118 21 MCP
• 23
  

  Apple Health MCP Server

  Connect Apple Health data with any LLM using the Model Context Protocol.

  Apple Health MCP Server enables users to import, parse, and analyze Apple Health data exports, seamlessly connecting them to large language models (LLMs) that support the Model Context Protocol. Built on the high-performance FastMCP framework, it supports natural language querying, trend analysis, and integration with databases like Elasticsearch, ClickHouse, and DuckDB. The project offers modular tools for data exploration, structure analysis, and automated statistics generation. Designed for flexibility and scalability, it is container-ready and provides extensive configuration options.

  64 9 MCP
• 24
  

  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
• 25
  

  AgentMail Toolkit

  Integrates agent frameworks and protocols with AgentMail API for seamless interoperability.

  AgentMail Toolkit provides seamless integration of popular agent frameworks and protocols, including the Model Context Protocol (MCP), OpenAI Agents SDK, and Vercel AI SDK, with the AgentMail API. It supports both Python and Node environments, enabling developers to build and manage agent workflows across different platforms and standards.

  32 7 MCP
• 26
  

  LINE Bot MCP Server

  MCP server connecting LINE Messaging API with AI agents

  Provides a Model Context Protocol (MCP) server implementation for integrating AI agents with the LINE Messaging API. Enables sending text and flex messages, accessing user profiles, and managing features like rich menus via MCP-compatible endpoints. Designed for connecting AI-driven context management with LINE Official Accounts for experimental and production scenarios.

  493 86 MCP
• 27
  

  ntfy-me-mcp

  Send real-time notifications from AI assistants to your devices using ntfy and the Model Context Protocol.

  ntfy-me-mcp implements a streamlined Model Context Protocol (MCP) server, enabling AI assistants to send real-time notifications to user devices through the ntfy service. It supports both public and self-hosted ntfy instances with token authentication, allowing integration into various AI workflows. The server automatically detects URLs for interactive actions and applies smart markdown formatting to craft rich notifications suitable for important events and task updates.

  48 11 MCP
• 28
  

  awslabs/mcp

  Specialized MCP servers for seamless AWS integration in AI and development environments.

  AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

  6,220 829 MCP
• 29
  

  anyquery

  Universal SQL query engine for files, databases, apps, and LLM integration.

  Anyquery is a SQL query engine that enables users to run SQL queries on a wide array of data sources, including files, databases, and popular applications via plugins. It supports integrations with large language models (LLMs) through the Model Context Protocol (MCP), providing seamless access for AI models to query data. Built on SQLite, it extends functionality with a plugin system and can also function as a MySQL server for compatibility with conventional SQL clients. Its flexible installation options and broad plugin ecosystem allow extensive customization and integration.

  1,298 77 MCP
• 30
  

  McGravity

  Unified load balancer and proxy for multiple MCP servers

  McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

  68 3 MCP
• 31
  

  Inoyu Apache Unomi MCP Server

  Model Context Protocol server for managing user profiles and context through Apache Unomi.

  Inoyu Apache Unomi MCP Server provides Model Context Protocol support for user context management via Apache Unomi profile handling. It enables AI systems like Claude to maintain user state, lookup and update profiles, manage profile properties, and handle sessions through standardized tools. The implementation supports both Unomi v2 and v3, allowing for email-based profile creation and property updates while offering context isolation through scope management. JSON-based APIs are provided for streamlined integration and data exchange.

  7 9 MCP
• 32
  

  Product Hunt MCP Server

  Plug-and-play MCP server for accessing Product Hunt data with LLMs and agents.

  Product Hunt MCP Server acts as a bridge between Product Hunt’s API and any agent or LLM that supports the Model Context Protocol (MCP). It enables fast and standardized access to posts, collections, topics, users, comments, and votes on Product Hunt. Built on FastMCP, it ensures seamless compatibility with popular AI tooling like Claude Desktop and Cursor. Integration is straightforward, requiring only a Product Hunt API token and simple configuration.

  33 8 MCP
• 33
  

  ntfy-mcp

  Task completion notifications for AI assistants via ntfy.

  ntfy-mcp integrates with the Model Context Protocol to provide real-time notifications via ntfy when AI assistants complete tasks. It serves as an MCP server, keeping users informed without needing to constantly monitor progress. The application supports flexible configuration, is built in Node.js, and works seamlessly with the ntfy mobile app for simple, customizable push alerts.

  43 4 MCP
• 34
  

  FHIR MCP Server

  A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

  FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

  34 5 MCP
• 35
  

  MCP Server Chart

  A Model Context Protocol server for generating and analyzing charts using AntV.

  MCP Server Chart enables chart generation and data analysis through the Model Context Protocol. Built with TypeScript and leveraging AntV, it offers over 25 types of charts accessible via MCP tools. The server supports seamless integration with visualization platforms like Dify and provides features such as private deployment, configurable toolsets, and CLI options.

  3,141 299 MCP
• 36
  

  iMessage Query MCP Server

  Securely query and analyze your iMessage history with LLMs using the Model Context Protocol.

  iMessage Query MCP Server is an MCP-compliant server that provides safe access to the macOS iMessage database for Large Language Models (LLMs). Built with the FastMCP framework and imessagedb library, it enables querying, validation, and analysis of iMessage conversations, complete with proper phone number handling and permissions management. The tool integrates seamlessly with MCP clients such as Claude Desktop and CLine for VSCode, allowing for controlled retrieval of chat histories via standardized protocols. Enhanced security features and automated dependency management ensure a smooth and safe user experience.

  71 13 MCP
• 37
  

  mcp-server

  A production-ready Model Context Protocol server for advanced aerospace and astrodynamics calculations.

  The mcp-server provides a Model Context Protocol (MCP) server specifically designed for aerospace and astrodynamics computations. It offers both STDIO and HTTP/SSE transport options, enabling seamless integration with MCP clients for tasks like celestial body ephemeris, orbital mechanics, geometry, ground station operations, and time system conversions. Powered by the IO Aerospace Astrodynamics framework, it supports rapid, context-aware scientific tool execution for applications in mission analysis and research. Extensible deployment methods, including Docker and .NET, and a focus on easy client integration are core components.

  1 1 MCP
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  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
  

  tfmcp

  A CLI tool for managing Terraform via the Model Context Protocol (MCP).

  tfmcp is a command-line tool that enables interaction with Terraform using the Model Context Protocol (MCP). It allows language models and AI assistants to analyze, manage, and operate Terraform environments programmatically, supporting operations such as configuration analysis, state management, and secure application of changes. The tool offers enterprise-grade security, audit logging, and flexible deployment options including Docker support. Designed for efficiency and seamless integration, tfmcp simplifies infrastructure automation workflows for both developers and AI systems.

  345 23 MCP
• 40
  

  Outsource MCP

  Unified MCP server for multi-provider AI text and image generation

  Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

  26 5 MCP
• 41
  

  MCP Nutanix

  An MCP server enabling LLM access to Nutanix Prism Central APIs.

  MCP Nutanix is an experimental Model Context Protocol (MCP) server that allows large language models to interact with Nutanix Prism Central APIs. It facilitates listing and accessing resources such as VMs, clusters, and hosts via standardized MCP client-server integration, using the Prism Go Client for backend communication. The implementation supports both interactive and static credential methods, making it compatible with various MCP clients including Claude and Cursor.

  11 5 MCP
• 42
  

  Telegram MCP Server

  A bridge connecting AI assistants to the Telegram API via the Model Context Protocol.

  Telegram MCP Server facilitates secure and structured interaction between AI assistants and the Telegram API by implementing the Model Context Protocol. It enables AI-powered tools to access, organize, and manage Telegram messages, chats, and user data while maintaining user control and privacy. The server offers capabilities for retrieving messages, managing conversations, sending drafts, and organizing chats, making it a versatile tool for AI integrations with Telegram.

  237 26 MCP
• 43
  

  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
• 44
  

  mcp-k8s-eye

  Kubernetes management and diagnostics tool with MCP protocol support.

  mcp-k8s-eye enables users to manage and analyze Kubernetes clusters using standardized Model Context Protocol (MCP) interfaces. It offers comprehensive resource operations, diagnostics, and resource usage monitoring through both stdio and SSE transports. Supporting generic and custom resource management along with advanced diagnostic tooling, it is geared for integration with AI clients and other MCP consumers.

  26 9 MCP
• 45
  

  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
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  PythonAnywhere Model Context Protocol Server

  Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

  PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

  8 4 MCP
• 47
  

  liveblocks-mcp-server

  Enable AI models to interact with Liveblocks via standardized MCP server endpoints.

  liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

  11 8 MCP
• 48
  

  code-to-tree

  Universal Code-to-AST MCP Server for LLM Integration

  code-to-tree is an MCP (Model Context Protocol) server that enables large language models to accurately convert source code into abstract syntax trees (AST) across multiple programming languages. It provides a standalone executable that integrates with MCP clients, ensuring seamless parsing using the tree-sitter framework. The server supports languages including C, C++, Rust, Ruby, Go, Java, and Python, with minimal dependencies required. Its design focuses on ease of setup and integration in AI workflows requiring code analysis capabilities.

  66 8 MCP
• 49
  

  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
• 50
  

  MaxMSP-MCP Server

  Bridge LLMs with Max patches via Model Context Protocol

  MaxMSP-MCP Server enables large language models to understand, explain, and generate Max patches by leveraging the Model Context Protocol. It connects LLM agents with MaxMSP environments, providing access to documentation and patch objects for detailed interaction. Installation includes both a Python server and Max environment integration, facilitating seamless Python-Max communication. The tool supports explaining patches, debugging, and synthesizer creation directly through LLM interfaces.

  106 12 MCP