Swarmia MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  MacOS Resource Monitor MCP Server

  Lightweight MCP server for monitoring CPU, memory, and network usage on macOS.

  MacOS Resource Monitor MCP Server provides real-time monitoring of system resources on macOS devices, exposing an MCP endpoint for integration with LLMs or other clients. It identifies resource-intensive processes across CPU, memory, and network, delivering structured JSON outputs. The server offers advanced filtering, sorting, and system overviews, assisting in performance analysis and bottleneck identification. Designed for seamless integration and lightweight system monitoring.

  16 3 MCP
• 2
  

  SonarQube MCP Server

  Model Context Protocol server for AI access to SonarQube code quality metrics.

  SonarQube MCP Server offers a Model Context Protocol (MCP) server that integrates with SonarQube, enabling AI assistants to access code quality metrics, issues, and analysis results programmatically. It supports retrieving detailed quality metrics, filtering issues, reviewing security hotspots, analyzing branches and pull requests, and monitoring project health. The server facilitates multi-project analysis, contextual code review, and improved assistant workflows through a standardized protocol.

  101 16 MCP
• 3
  

  JMeter MCP Server

  Execute and analyze JMeter tests via Model Context Protocol integration.

  JMeter MCP Server enables execution and analysis of Apache JMeter tests through MCP-compatible clients. It provides command-line and programmatic tools for running JMeter tests in GUI and non-GUI modes, parsing and analyzing JTL result files, and generating detailed metrics and reports. Designed for integration with tools that follow the Model Context Protocol, it facilitates seamless performance testing workflows and actionable insights for test results.

  47 16 MCP
• 4
  

  Rootly MCP Server

  Seamlessly integrate Rootly incident management into MCP-compatible editors.

  Rootly MCP Server provides an MCP-compliant server to access and manage Rootly's incident management API from within editors like Cursor, Windsurf, and Claude. It enables context-rich workflows and tool generation based on Rootly’s OpenAPI specification, allowing users to resolve incidents directly within their development environment. The server supports flexible authentication and dynamic resource generation while ensuring smart pagination to optimize editor context windows.

  36 15 MCP
• 5
  

  Crypto Sentiment MCP Server

  AI-accessible crypto sentiment data powered by Santiment.

  Delivers cryptocurrency sentiment analysis, social volume metrics, trending topics, and social dominance statistics to AI agents via the Model Context Protocol. Provides standardized APIs for retrieving market mood, tracking trending words, and monitoring significant shifts in online discussions about crypto assets. Integrates with Santiment to leverage aggregated data from social media and news sources for in-depth market insights.

  40 16 MCP
• 6
  

  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
• 7
  

  mcp-server-apache-airflow

  A Model Context Protocol server for integrating Apache Airflow with MCP clients.

  mcp-server-apache-airflow provides a Model Context Protocol (MCP) server implementation that allows standardized interaction with Apache Airflow environments. By wrapping Airflow's REST API, it enables MCP clients to manage and orchestrate workflows, DAGs, and runs in a consistent and interoperable manner. This implementation leverages the official Apache Airflow client library to ensure robust compatibility and maintainability. It streamlines the management of Airflow resources by exposing comprehensive endpoint coverage for key workflow operations.

  109 28 MCP
• 8
  

  Hyperliquid Info MCP Server

  Real-time Hyperliquid perp DEX data and analytics via MCP.

  Provides an MCP-compliant server interface for accessing real-time user and market data from the Hyperliquid perpetual DEX. Enables bots, dashboards, and analytics platforms to query user positions, trading history, order books, and funding details seamlessly. Designed for integration with platforms like Claude Desktop and supports ISO 8601 time filtering.

  23 10 MCP
• 9
  

  Package Version MCP Server

  Check latest stable package versions across multiple registries with an MCP server.

  Package Version MCP Server acts as an MCP-compliant server that assists large language models in fetching the latest stable versions of packages from a variety of registries such as npm, PyPI, Maven Central, Go Proxy, Swift Packages, AWS Bedrock, Docker Hub, GitHub Container Registry, and GitHub Actions. It can be integrated via command-line, URL, or containers and is tailored for development environments and tools that require accurate package versioning for code generation or recommendations. The solution is adaptable and is transitioning towards incorporation in the broader mcp-devtools suite.

  118 23 MCP
• 10
  

  MCP Google Drive Server

  Seamlessly connect Google Drive and Sheets with MCP tools for file access and editing.

  The MCP Google Drive Server enables integration with Google Drive and Google Sheets, allowing users to search, read, and retrieve files, as well as interact with spreadsheets. It provides MCP-compatible tools for searching files, reading file contents, reading spreadsheet ranges, and updating spreadsheet cells. Files in Google Drive are made accessible through standardized resources, supporting multiple export formats for Google Workspace files. Designed for easy authentication and configuration with Google Cloud, the server streamlines interactions between external systems and Google Drive resources.

  228 85 MCP
• 11
  

  Rug-Check-MCP

  Detect risks in Solana meme tokens to prevent rug pulls

  Rug-Check-MCP is an MCP server designed to analyze Solana meme tokens for potential risks, leveraging data from the Solsniffer API. It provides comprehensive token analysis through the 'analysis_token' tool, delivering structured information on risk scores, market data, and security factors. The solution aids AI agents and clients in identifying high-risk or unsafe projects, helping protect users from fraudulent tokens. Installation is streamlined for Smithery and manual Python environments.

  15 8 MCP
• 12
  

  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
• 13
  

  MCP BaoStock Server

  Stock market data server with multiple APIs, powered by BaoStock.

  MCP BaoStock Server offers a stock data API service based on BaoStock, providing endpoints for retrieving diverse market information. It supports queries for stock basics, K-line historical data, industry classification, dividends, financial indicators, index data, and valuation metrics. Developed in Python, it is designed for easy integration and rapid access to comprehensive Chinese stock market data. The server enables detailed analysis and research with example test cases for each supported endpoint.

  56 19 MCP
• 14
  

  Octocode MCP

  Enterprise-grade AI context server for codebase research and analysis.

  Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

  577 45 MCP
• 15
  

  JVM MCP Server

  Lightweight multi-agent protocol server for JVM monitoring and diagnostics.

  JVM MCP Server provides a lightweight, zero-dependency server that implements the Multi-Agent Communication Protocol for monitoring and diagnosing Java applications. It leverages native JDK tools to enable powerful AI agent interactions for gathering JVM metrics, analyzing memory and threads, and performing advanced diagnostics without relying on third-party software. The server supports both local and remote Java environments through SSH, ensuring cross-platform compatibility and secure operation.

  71 15 MCP
• 16
  

  locust-mcp-server

  Run Locust load tests via Model Context Protocol integration.

  locust-mcp-server provides a Model Context Protocol (MCP) server for executing Locust load tests, allowing seamless connection between Locust and AI-powered development environments. It offers easy configuration, real-time test output, and both headless and UI testing modes. The project features a simple API for customizable load testing scenarios and supports various runtime and user parameters.

  9 6 MCP
• 17
  

  Pica MCP Server

  A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

  Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

  8 5 MCP
• 18
  

  GitHub Repo MCP

  Browse and access GitHub repositories through any MCP-compatible client.

  GitHub Repo MCP enables AI assistants and clients to explore GitHub repositories by navigating directories and viewing file contents using the Model Context Protocol (MCP). It is compatible with popular MCP clients such as Cursor, Windsurf, and Claude Desktop via the stdio protocol. The server provides tools to list repository directories and fetch file content, allowing for streamlined repository browsing in AI-powered workflows. Installation is straightforward via NPX, Smithery, or direct configuration in MCP-capable IDEs.

  20 10 MCP
• 19
  

  Gitingest MCP Server

  Turn any Git repository into a structured context for AI assistants via the Model Context Protocol.

  Gitingest MCP Server provides a Model Context Protocol (MCP) compliant server that integrates with the gitingest tool to analyze and ingest Git repositories into structured text digests. It offers detailed repository analysis, including code summaries, file structures, and content extraction, tailored for integration with AI assistants. The server features flexible configuration and supports filtering by file size, patterns, and branches. It enables standardized delivery of codebase context to AI models for improved reasoning and comprehension.

  8 5 MCP
• 20
  

  Webvizio MCP Server

  Bridge between Webvizio feedback and AI coding agents via the Model Context Protocol

  Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

  4 4 MCP
• 21
  

  SpaceBridge-MCP

  A Model Context Protocol server for seamless AI-assisted issue management via SpaceBridge.

  SpaceBridge-MCP offers a Model Context Protocol (MCP) server that enables AI assistants and coding tools to interact directly with the SpaceBridge issue aggregation platform. It supports searching, creating, viewing, and updating issues across multiple trackers such as Jira and GitHub, using natural language requests. It also provides automated duplicate detection with LLM-based comparison to streamline issue creation workflows. The server acts as a bridge between AI-powered development environments and issue management systems, enhancing context sharing and productivity.

  5 2 MCP
• 22
  

  docker-mcp

  A powerful MCP server for seamless Docker container and compose stack management.

  docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.

  419 57 MCP
• 23
  

  Prometheus MCP Server

  Access and analyze Prometheus metrics through standardized MCP interfaces.

  Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

  282 64 MCP
• 24
  

  Kestra Python MCP Server

  Run Kestra orchestrations with Model Context Protocol support via Docker.

  Kestra Python MCP Server enables integration of the Kestra workflow orchestration platform with environments that use the Model Context Protocol (MCP). It provides a Dockerized MCP server for managing workflows, executions, files, namespaces, and more, with support for both Open-Source (OSS) and Enterprise Edition (EE) setups. The server can be configured easily using environment variables and is compatible with tools like VS Code and Claude, making model-driven orchestration accessible and modular.

  16 3 MCP
• 25
  

  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
• 26
  

  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
• 27
  

  Currents MCP Server

  Connect AI agents to test results context via Currents MCP Server.

  Currents MCP Server provides a standardized Model Context Protocol (MCP) server for integrating test results and debugging data into AI agents. It enables seamless communication between CI test data in Currents and AI-powered tools, such as Cursor Editor and Claude Desktop, facilitating actions like test optimization and failure diagnosis. The server exposes a suite of tools for retrieving detailed project, run, and performance metrics and is easily configurable via command-line for development and integration. Secure handling of API keys and support for local development are included.

  14 6 MCP
• 28
  

  Snowflake MCP Server

  MCP server enabling secure and structured Snowflake database interaction with AI tools.

  Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

  170 75 MCP
• 29
  

  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
• 30
  

  VictoriaLogs MCP Server

  MCP server enabling advanced read-only access and observability for VictoriaLogs

  VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

  30 7 MCP
• 31
  

  codelogic-mcp-server

  Leverage CodeLogic’s dependency data for AI-powered impact analysis.

  Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

  31 14 MCP
• 32
  

  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
• 33
  

  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
• 34
  

  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
• 35
  

  Aibolit MCP Server

  MCP server providing critical design feedback for Java code analysis.

  Aibolit MCP Server acts as a bridge between AI code assistants and the Aibolit Java code analyzer, delivering assessments of the most critical design issues in a codebase. It integrates with agents such as Claude Code to help prioritize significant refactoring tasks over minor, cosmetic changes. The tool supports Node.js environments and leverages the Aibolit analysis engine to guide AI agents in making informed, impactful code improvements.

  20 5 MCP
• 36
  

  Opik MCP Server

  A unified Model Context Protocol server for Opik with multi-transport IDE integration.

  Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

  182 27 MCP
• 37
  

  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
• 38
  

  QA Sphere MCP Server

  Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

  QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

  15 6 MCP
• 39
  

  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
• 40
  

  Druid MCP Server

  Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

  Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

  9 4 MCP
• 41
  

  App Store Connect MCP Server

  Conversational AI server for App Store Connect management via MCP

  App Store Connect MCP Server is a Model Context Protocol (MCP) compliant server that enables seamless interaction with Apple's App Store Connect API. It empowers users to manage apps, beta testers, devices, bundle IDs, app metadata, and capabilities through natural language. The server supports secure authentication, real-time analytics, and localization management, streamlining development, DevOps, and product workflows.

  139 23 MCP
• 42
  

  OpenAPI-MCP

  Dockerized MCP server that transforms OpenAPI/Swagger specs into MCP-compatible tools.

  OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

  150 31 MCP
• 43
  

  Unified Diff MCP Server

  Beautiful diff visualization for Claude Desktop with GitHub Gist sharing and local export.

  Unified Diff MCP Server provides a powerful tool for visualizing code diffs in an engaging HTML format, tailored for use with Claude Desktop. It supports sharing diffs via GitHub Gist, saving outputs as PNG or HTML files, and features auto-delete and multi-level security. Designed for high performance and cross-platform compatibility, it makes code review and sharing diffs efficient and visually appealing.

  8 4 MCP
• 44
  

  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
• 45
  

  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
• 46
  

  FastMCP SonarQube Metrics

  Message-based access to SonarQube data via the Fast Model Context Protocol.

  Provides a FastMCP-based framework for programmatically retrieving metrics, project lists, historical data, and issues from SonarQube instances. Facilitates simplified message-based client-server communication, abstracting direct API interactions and enabling automation, reporting, and integration. Supports key actions including project creation, deletion, metric retrieval, and issue listing for SonarQube environments. Designed for developers, DevOps engineers, and analysts seeking to incorporate SonarQube data into broader workflows.

  12 5 MCP
• 47
  

  Azure Data Explorer MCP Server

  Enables AI assistants to query and analyze Azure Data Explorer using the Model Context Protocol.

  Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.

  49 23 MCP
• 48
  

  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
• 49
  

  Firefly MCP Server

  Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

  Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

  15 6 MCP
• 50
  

  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