Facebook MCP Server - Alternatives & Competitors

AI-ready tools for managing and moderating Facebook Pages via the Graph API.

Facebook MCP Server is a Model Context Protocol (MCP) server designed to automate and manage interactions on Facebook Pages through the Facebook Graph API. It offers a suite of tools accessible by AI agents or LLMs, enabling actions such as posting, moderating comments, retrieving analytics, and handling negative feedback. The platform is optimized for integration with agent clients like Claude Desktop, providing seamless, natural language-driven operations. By abstracting Facebook operations as callable functions, it empowers users to efficiently control and monitor their social media presence.

#facebook-api #social-media-automation #content moderation #analytics #llm-integration #comment-management

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  • 1
    Contentful MCP Server

    Contentful MCP Server

    Community-driven MCP server for advanced Contentful content management.

    Contentful MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration with Contentful’s Content Management API. It enables full CRUD operations for entries and assets, facilitates comment and space management, and supports bulk asynchronous operations. With features like smart pagination and localization, it aims to optimize LLM context handling and streamline workflows for content-rich applications.

    61 18 MCP
  • 2
    mcp-graphql

    mcp-graphql

    Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.

    mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.

    319 54 MCP
  • 3
    Google Workspace MCP Server

    Google Workspace MCP Server

    Full natural language control of Google Workspace through the Model Context Protocol.

    Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.

    890 259 MCP
  • 4
    GitHub MCP Server

    GitHub MCP Server

    Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

    GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

    24,418 2,997 MCP
  • 5
    Reddit Summarizer MCP Server

    Reddit Summarizer MCP Server

    Summarize Reddit content through a Model Context Protocol server.

    Reddit Summarizer MCP Server provides an MCP-compliant server interface for summarizing Reddit homepages, specific subreddits, and comments on individual posts. It enables users to extract concise reports from Reddit using customizable parameters such as sorting methods, comment inclusion, and post limits. The tool is designed to integrate with MCP clients like Claude Desktop and leverages the Reddit API for data retrieval. Support for environment variables and structured prompts ensures adaptability for a variety of summarization needs.

    11 2 MCP
  • 6
    Freshdesk MCP Server

    Freshdesk MCP Server

    AI-powered Freshdesk integration for automated ticket and agent management via MCP.

    Enables seamless integration between AI models and Freshdesk by providing a Model Context Protocol (MCP) server interface. Supports a wide range of helpdesk operations such as ticket creation, updates, conversation management, agent handling, and contact management. Facilitates automated support workflows and allows AI agents to interact programmatically with Freshdesk modules.

    31 21 MCP
  • 7
    GitLab MR MCP

    GitLab MR MCP

    An MCP server for AI-powered interaction with GitLab merge requests and issues.

    GitLab MR MCP implements a server for the Model Context Protocol (MCP) enabling AI agents to perform structured interactions with GitLab repositories. It provides capabilities for reading merge request and issue details, listing projects, fetching diffs and comments, and making changes such as commenting or updating titles and descriptions. Installation is supported via Smithery or manually, and integration with MCP clients and Inspector tools is documented for development and troubleshooting.

    65 19 MCP
  • 8
    Kanboard MCP Server

    Kanboard MCP Server

    MCP server for seamless AI integration with Kanboard project management.

    Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

    15 4 MCP
  • 9
    mcp-graphql-forge

    mcp-graphql-forge

    Configuration-driven MCP server exposing modular GraphQL queries as tools.

    mcp-graphql-forge provides a lightweight, easily configurable Model Context Protocol (MCP) server that transforms any GraphQL endpoint into a set of modular API tools. Tools, defined in YAML, specify GraphQL queries and parameters to enable curated interactions via a standardized protocol. Written in Go, it emphasizes modularity, security, and extensibility without requiring code changes, and offers ready-to-run binaries for all major platforms.

    3 2 MCP
  • 10
    Macrocosmos MCP

    Macrocosmos MCP

    Official Model Context Protocol server for real-time social and video data integration.

    Macrocosmos MCP is the official server implementation of the Model Context Protocol (MCP). It connects AI clients with real-time data from platforms like X, Reddit, and YouTube, powered by Data Universe (SN13) on Bittensor. The server enables MCP-compatible clients to fetch social media and video transcript data for enhanced contextual understanding. It supports integration with tools such as Claude Desktop, Cursor, Windsurf, and OpenAI Agents.

    24 3 MCP
  • 11
    Teamwork MCP Server

    Teamwork MCP Server

    Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol

    Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.

    11 9 MCP
  • 12
    TeslaMate MCP Server

    TeslaMate MCP Server

    Query your TeslaMate data using the Model Context Protocol

    TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

    106 14 MCP
  • 13
    Weblate MCP Server

    Weblate MCP Server

    Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.

    Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.

    9 5 MCP
  • 14
    Twitter MCP Server

    Twitter MCP Server

    Programmatic Twitter account management via an MCP-compliant server.

    Twitter MCP Server enables programmatic management of Twitter accounts with features such as retrieving home timelines, fetching user tweets, conducting hashtag searches, handling direct messages, and performing tweet creation or deletion. The server appears designed for integration into multi-channel platforms following the Model Context Protocol. It requires Python 3.11+, utilizes environment configuration for credentials, and offers an API-driven interface for various Twitter operations.

    47 11 MCP
  • 15
    Meta Ads MCP

    Meta Ads MCP

    AI-powered Meta Ads campaign analysis and management via MCP

    Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

    342 86 MCP
  • 16
    LINE Bot MCP Server

    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
  • 17
    GrowthBook MCP Server

    GrowthBook MCP Server

    Interact with GrowthBook from your LLM client via MCP.

    GrowthBook MCP Server enables seamless integration between GrowthBook and LLM clients by implementing the Model Context Protocol. It allows users to view experiment details, add feature flags, and manage GrowthBook configurations directly from AI applications. The server is configurable via environment variables and leverages GrowthBook's API for functionality. This integration streamlines experimentation and feature management workflows in AI tools.

    15 12 MCP
  • 18
    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
  • 19
    Insforge MCP Server

    Insforge MCP Server

    A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

    Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

    3 2 MCP
  • 20
    CyberChef API MCP Server

    CyberChef API MCP Server

    MCP server enabling LLMs to access CyberChef's powerful data analysis and processing tools.

    CyberChef API MCP Server implements the Model Context Protocol (MCP), interfacing with the CyberChef Server API to provide structured tools and resources for LLM/MCP clients. It exposes key CyberChef operations such as executing recipes, batch processing, retrieving operation categories, and utilizing the magic operation for automated data decoding. The server can be configured and managed via standard MCP client workflows and supports context-driven tool invocation for large language models.

    29 5 MCP
  • 21
    HarmonyOS MCP Server

    HarmonyOS MCP Server

    Enables HarmonyOS device manipulation via the Model Context Protocol.

    HarmonyOS MCP Server provides an MCP-compatible server that allows programmatic control of HarmonyOS devices. It integrates with tools and frameworks such as OpenAI's openai-agents SDK and LangGraph to facilitate LLM-powered automation workflows. The server supports execution through standard interfaces and can be used with agent platforms to process natural language instructions for device actions. Its design allows for seamless interaction with HarmonyOS systems using the Model Context Protocol.

    25 8 MCP
  • 22
    Mattermost MCP Host

    Mattermost MCP Host

    Connects Mattermost to MCP servers, enabling AI agent-powered tool orchestration within chat.

    Mattermost MCP Host integrates the Model Context Protocol (MCP) with Mattermost, utilizing a LangGraph-based AI agent to facilitate seamless user interaction and dynamic tool execution directly in chat. It supports integration with multiple MCP servers, automatically discovers available tools, and allows users to issue commands or natural language requests. Conversational context is maintained in threads, and users can interact directly with MCP servers to manage resources and capabilities.

    27 16 MCP
  • 23
    Product Hunt MCP Server

    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
  • 24
    cryptopanic-mcp-server

    cryptopanic-mcp-server

    Provides real-time cryptocurrency news to AI agents via Model Context Protocol.

    cryptopanic-mcp-server delivers up-to-date cryptocurrency news to AI agents by integrating with the CryptoPanic API. It exposes an MCP-compliant server with a tool for fetching news or media headlines, supporting customization via API keys and configuration files. The implementation is intended for streamlined context integration into AI workflows, enhancing agent awareness with current crypto market updates.

    59 23 MCP
  • 25
    Facebook/Meta Ads MCP Server

    Facebook/Meta Ads MCP Server

    MCP server interface for secure, programmatic Meta Ads data and management.

    Enables seamless integration between Model Context Protocol (MCP) clients and Meta (Facebook) Ads API, providing tools for programmatic data access and campaign management. Simplifies local installation with automated environment setup and optional secure authentication, eliminating the need for manual token retrieval. Designed for use with popular MCP clients such as Claude Desktop, offering plug-and-play connectivity. Data and tokens remain local for privacy and security.

    183 47 MCP
  • 26
    Graphlit MCP Server

    Graphlit MCP Server

    Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

    Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

    369 49 MCP
  • 27
    Cal.com FastMCP Server

    Cal.com FastMCP Server

    FastMCP server enabling LLMs to interact programmatically with the Cal.com API.

    Cal.com FastMCP Server provides an implementation of the Model Context Protocol (MCP), enabling language models to programmatically interact with the Cal.com API. It offers a range of tools for managing event types, bookings, schedules, teams, users, and webhooks through a standardized FastMCP server. The system includes robust error handling and requires an API key for authentication.

    13 8 MCP
  • 28
    APISIX Model Context Protocol Server

    APISIX Model Context Protocol Server

    Bridge LLMs with APISIX for natural language API management.

    APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

    29 9 MCP
  • 29
    investor-agent

    investor-agent

    Comprehensive Financial Analysis Server for LLMs via Model Context Protocol

    investor-agent is an MCP server designed to deliver in-depth financial insights and market analysis to Large Language Models. It leverages real-time data sources and advanced analysis tools to provide information such as market movers, ticker data, options chains, historical prices, financial statements, ownership structure, and sentiment indices. The platform features robust caching and error handling for reliable and efficient data delivery while supporting extensible financial analytics with optional technical indicators and intraday data.

    286 51 MCP
  • 30
    Bluesky Social MCP

    Bluesky Social MCP

    Interact with the Bluesky social network through an MCP server.

    Bluesky Social MCP provides an MCP-compliant server to interface with the Bluesky social platform using the atproto client. It enables a wide range of profile, feed, post management, and interaction features, all accessible via a standardized Model Context Protocol server setup. The project supports easy configuration, local deployment, and multiple authentication and posting operations.

    14 7 MCP
  • 31
    MCP-Twikit

    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
  • 32
    YDB MCP

    YDB MCP

    MCP server for AI-powered natural language database operations on YDB.

    YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

    24 7 MCP
  • 33
    Postmancer

    Postmancer

    A standalone MCP server for API testing and management via AI assistants.

    Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

    28 4 MCP
  • 34
    Aiven MCP Server

    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
  • 35
    Scrapeless MCP Server

    Scrapeless MCP Server

    A real-time web integration layer for LLMs and AI agents built on the open MCP standard.

    Scrapeless MCP Server is a powerful integration layer enabling large language models, AI agents, and applications to interact with the web in real time. Built on the open Model Context Protocol, it facilitates seamless connections between models like ChatGPT, Claude, and tools such as Cursor to external web capabilities, including Google services, browser automation, and advanced data extraction. The system supports multiple transport modes and is designed to provide dynamic, real-world context to AI workflows. Robust scraping, dynamic content handling, and flexible export formats are core parts of the feature set.

    57 10 MCP
  • 36
    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
  • 37
    IDA Pro MCP

    IDA Pro MCP

    Enabling Model Context Protocol server integration with IDA Pro for collaborative reverse engineering.

    IDA Pro MCP provides a Model Context Protocol (MCP) server that connects the IDA Pro reverse engineering platform to clients supporting the MCP standard. It exposes a wide array of program analysis and manipulation functionalities such as querying metadata, accessing functions, globals, imports, and strings, decompiling code, disassembling, renaming variables, and more, in a standardized way. This enables seamless integration of AI-powered or remote tools with IDA Pro to enhance the reverse engineering workflow.

    4,214 432 MCP
  • 38
    Telephony MCP Server

    Telephony MCP Server

    MCP-based telephony server enabling LLMs to make voice calls and send SMS via Vonage.

    Telephony MCP Server provides Model Context Protocol-based tools that allow integration of telephony operations, such as voice calls and SMS sending, with Large Language Model applications. Built with Python and leveraging the Vonage API, it exposes callable functions that LLMs can use to interact with the real world. The server defines tools like 'voice_call' and 'send_sms' for secure, programmatic communication via FastAPI interfaces. It is designed for agentic and tool-using AI systems to extend their operational capabilities beyond text generation.

    12 3 MCP
  • 39
    Airtable MCP Server

    Airtable MCP Server

    Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

    Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

    45 17 MCP
  • 40
    TheGraph MCP Server

    TheGraph MCP Server

    Empowering AI agents with indexed blockchain data from The Graph

    TheGraph MCP Server provides AI agents with seamless access to indexed blockchain data through The Graph protocol. It offers tools for fetching subgraph schemas and executing custom GraphQL queries, making blockchain data exploration efficient for AI-powered applications. The server is tailored for easy integration as a Model Context Protocol (MCP) server, enabling intelligent context-aware data retrieval.

    7 12 MCP
  • 41
    Flowcore Platform MCP Server

    Flowcore Platform MCP Server

    A standardized MCP server for managing and interacting with Flowcore Platform resources.

    Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.

    9 5 MCP
  • 42
    MCP Link

    MCP Link

    Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.

    MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

    572 68 MCP
  • 43
    Taskade MCP

    Taskade MCP

    Tools and server for Model Context Protocol workflows and agent integration

    Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

    90 20 MCP
  • 44
    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
  • 45
    iMessage Query MCP Server

    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
  • 46
    MCP Server for TheHive

    MCP Server for TheHive

    Connect AI-powered automation tools to TheHive incident response platform via MCP.

    MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.

    11 3 MCP
  • 47
    Didlogic MCP Server

    Didlogic MCP Server

    Standardized MCP interface for Didlogic API services

    Didlogic MCP Server provides a Model Context Protocol-compliant server that enables Large Language Models to interact with Didlogic services through a standardized interface. It supports multiple transport modes, including STDIO, HTTP, and SSE, and offers tools for managing SIP accounts, balances, IP restrictions, and transaction histories. The server ensures secure API access via environment variables or bearer tokens and is easily configurable for LLM platforms, such as Claude.

    3 5 MCP
  • 48
    Ebook-MCP

    Ebook-MCP

    A Model Context Protocol server for conversational e-book interaction and AI integration.

    Ebook-MCP acts as a Model Context Protocol (MCP) server enabling seamless interaction between large language model (LLM) applications and electronic books such as EPUB and PDF. It standardizes APIs for AI-powered reading, searching, and managing digital libraries. Through natural language interfaces, it provides smart library management, content navigation, and interactive learning within digital books. Ebook-MCP integrates with modern AI-powered IDEs and supports multi-format digital book processing.

    132 23 MCP
  • 49
    Flipt MCP Server

    Flipt MCP Server

    MCP server for Flipt, enabling AI assistants to manage and evaluate feature flags.

    Flipt MCP Server is an implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to interact with Flipt feature flags. It enables listing, creating, updating, and deleting various flag-related entities, as well as flag evaluation and management. The server supports multiple transports, is configurable via environment variables, and can be deployed via npm or Docker. Designed for seamless integration with MCP-compatible AI clients.

    2 7 MCP
  • 50
    dicom-mcp

    dicom-mcp

    A Model Context Protocol server for managing and querying DICOM medical imaging data.

    dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

    74 21 MCP

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