PMCP - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  godoc-mcp

  Token-efficient Go documentation server for LLMs using Model Context Protocol.

  godoc-mcp is a Model Context Protocol (MCP) server that provides efficient, structured access to Go package documentation for large language models. It enables LLMs to understand Go projects without reading entire source files by supplying essential documentation and source code at varying levels of granularity. The tool supports project navigation, automatic module setup, caching, and works offline for both standard and third-party Go packages.

  88 11 MCP
• 3
  

  @dealx/mcp-server

  MCP server enabling LLMs to search and interact with the DealX platform.

  Implements the Model Context Protocol, providing a standardized interface for large language models to interact with the DealX platform. Supports searching for ads through structured prompts and is designed for easy integration with tools like Claude and VS Code extensions. Flexible configuration options are available for environment variables, logging, and deployment. Extensible architecture supports future feature additions beyond ad search.

  0 2 MCP
• 4
  

  Gopher & Gemini MCP Server

  A modern Model Context Protocol server for AI-driven exploration of Gopher and Gemini resources.

  Gopher & Gemini MCP Server provides a secure and efficient bridge for AI assistants to interact with resources on vintage Gopher and modern Gemini protocols using the Model Context Protocol (MCP) standard. It is built with FastMCP, delivers structured JSON responses optimized for LLMs, and supports comprehensive protocol coverage with advanced security and performance features. The server implements robust safeguards, certificate validation, and works cross-platform with modern Python tooling.

  4 1 MCP
• 5
  

  RAE Model Context Protocol (MCP) Server

  An MCP server enabling LLMs to access RAE’s dictionary and linguistic resources.

  Provides a Model Context Protocol (MCP) server implementation for the Royal Spanish Academy API, facilitating integration with language models. Offers tools such as search and word information retrieval, exposing RAE’s dictionary and linguistic data to LLMs. Supports multiple transports including stdio and SSE, making it suitable for both direct and server-based LLM interactions.

  3 3 MCP
• 6
  

  mcp-log-proxy

  Web-based proxy for inspecting Model Context Protocol traffic in real time.

  mcp-log-proxy enables users to observe and debug messages exchanged between MCP clients and servers through a user-friendly web interface. It supports the STDIO interface and can operate multiple proxy instances, each accessible via a web dashboard. The tool allows customization of ports, web page titles, and log file locations, making it suitable for managing and troubleshooting MCP-based model communication. Installation is straightforward via Homebrew or Go, and it supports real-time switching between different running proxies.

  26 3 MCP
• 7
  

  mcp-time

  A Model Context Protocol server for time and date operations

  mcp-time is a Model Context Protocol (MCP) server that enables AI assistants and MCP clients to perform standardized time and date-related operations. It provides natural language parsing for relative time expressions, supports flexible formatting, and allows manipulation and comparison of times. The server offers multiple integration methods, including stdio, HTTP stream, Docker, and npx for compatibility with various clients. It is designed for robust time handling and easy integration with AI tools.

  8 5 MCP
• 8
  

  TripGo MCP Server

  Remote MCP server providing transport location, departure, and routing tools via the TripGo API.

  TripGo MCP Server acts as a remote Model Context Protocol server that wraps the TripGo API, offering tools for retrieving transport-related locations, departures from transport stops, multi-modal trip planning, and trip URL retrieval. It is deployed on Cloudflare Workers and is accessible directly or via MCP-compatible clients such as Claude Desktop through the mcp-remote proxy. The server supports direct integration for context-aware transport queries and trip management, facilitating enhanced interactions with public transport data.

  2 2 MCP
• 9
  

  Google News MCP Server

  A Model Context Protocol server providing Google News search with smart categorization and multi-language support.

  Implements a Model Context Protocol (MCP) server that integrates with SerpAPI to deliver advanced Google News search capabilities. Automatically categorizes news results, supports various languages and regions, and provides multiple search options such as query-based and topic search. Features robust error handling and flexible response types to suit diverse application needs.

  93 20 MCP
• 10
  

  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
• 11
  

  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
• 12
  

  PGMCP

  Natural language PostgreSQL interface via the Model Context Protocol.

  PGMCP enables seamless interaction with any PostgreSQL database through natural language queries, translating user intent into structured SQL results. It acts as a Model Context Protocol (MCP) server, connecting AI assistants and MCP-compatible clients to databases with features like streaming, robust error handling, and optional AI-powered SQL generation. The tool ensures secure, read-only access to existing databases using HTTP/MCP protocol. Compatibility includes tools such as Cursor, Claude Desktop, and VS Code extensions.

  499 53 MCP
• 13
  

  VictoriaMetrics MCP Server

  Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

  VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

  87 11 MCP
• 14
  

  MCP K8S Go

  Golang-based MCP server that enables AI-driven interactions with Kubernetes clusters.

  MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

  356 50 MCP
• 15
  

  metoro-mcp-server

  Bridge Kubernetes observability data to LLMs via the Model Context Protocol.

  Metoro MCP Server is an implementation of the Model Context Protocol (MCP) that enables seamless integration between Kubernetes observability data and large language models. It connects Metoro’s eBPF-based telemetry APIs to LLM applications such as the Claude Desktop App, allowing AI systems to query and analyze Kubernetes clusters. This solution supports both authenticated and demo modes for accessing real-time cluster insights.

  45 12 MCP
• 16
  

  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
• 17
  

  Nocodb MCP Server

  Natural language access and management for NocoDB using the Model Context Protocol.

  Nocodb MCP Server enables seamless CRUD operations and schema management on NocoDB databases via the Model Context Protocol (MCP). It allows users to perform database actions such as creating, reading, updating, deleting records, and altering table structures through natural language commands. The tool integrates easily with external platforms like Claude Desktop and supports both API and CLI usage. TypeScript-based, it provides modern maintainability and compatibility enhancements.

  54 22 MCP
• 18
  

  BigQuery MCP Server

  Enables LLMs to securely converse with BigQuery data using natural language.

  BigQuery MCP Server acts as a bridge between large language models and Google BigQuery, allowing natural language interactions with database data through the Model Context Protocol. Designed for integration with Claude Desktop, it securely processes user queries and translates them into SQL, streamlining data access and minimizing manual query writing. The tool ensures safe and read-only data operations, supports both tables and materialized views, and labels resource types for easier exploration. Installation is possible via Smithery or manual setup, with a focus on developer-friendliness and robust authentication options.

  129 31 MCP
• 19
  

  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
• 20
  

  mcp-gopls

  MCP server bridging Go's LSP and AI assistants for advanced code analysis.

  Implements a Model Context Protocol (MCP) server enabling AI assistants to interact with the Go Language Server Protocol (LSP) for analyzing and understanding Go code. Provides tools for navigation, diagnostics, references, hover info, completion suggestions, and code coverage. Integrates with 'gopls' to deliver precise code intelligence tailored for AI-driven workflows. Designed for seamless integration with platforms that support MCP, including AI development assistants.

  48 5 MCP
• 21
  

  godoc-mcp-server

  Provides Go package documentation from pkg.go.dev to LLMs as an MCP server.

  godoc-mcp-server enables searching Golang packages and obtains their documentation from pkg.go.dev, serving the information to language models via the Model Context Protocol. Communication occurs over standard input/output, supporting efficient retrieval of package information, including support for subpackages and usage instructions. The tool includes local caching and features tailored to LLM integration scenarios.

  32 3 MCP
• 22
  

  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
• 23
  

  MCP Language Server

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

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

  1,256 94 MCP
• 24
  

  Grafana MCP Server

  Provide standardized MCP access to Grafana dashboards, datasources, and observability data.

  Grafana MCP Server implements the Model Context Protocol (MCP) to interface with Grafana and its ecosystem. It enables querying, modifying, and summarizing dashboards, managing datasources, and running queries against Prometheus and Loki, all with explicit context window management. Additional features include incident management and Sift investigation retrieval.

  1,850 186 MCP
• 25
  

  Kubernetes MCP Server

  A standardized MCP interface for Kubernetes cluster management and introspection.

  Kubernetes MCP Server enables interaction with Kubernetes clusters via the Model Context Protocol, providing a consistent and standardized interface across various tools and environments. It features resource discovery, detailed inspection, metrics retrieval, resource manipulation, and supports multiple communication modes such as stdio, SSE, and streamable HTTP. Designed for flexibility and security, it allows both read-only and full-access modes and works with different Kubernetes contexts.

  117 21 MCP
• 26
  

  Last9 MCP Server

  Enables AI agents to access real-time production observability data for automated code fixes.

  Last9 MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration between AI agents and production observability data. It allows tools and agents to fetch live logs, metrics, traces, events, and alerts from Last9 systems, supporting a range of development environments and IDEs. This enables faster debugging, automated code fixes, and insightful context directly within local development workflows.

  46 8 MCP
• 27
  

  Kubectl MCP Server

  Natural language Kubernetes management for AI assistants using the Model Context Protocol.

  Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.

  734 137 MCP
• 28
  

  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
• 29
  

  MongoDB MCP Server

  A Model Context Protocol server for enabling LLM interaction with MongoDB databases.

  MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

  172 33 MCP
• 30
  

  mcp-confluent

  MCP server for managing Confluent Cloud resources via natural language.

  mcp-confluent is a Model Context Protocol (MCP) server implementation designed to enable natural language interaction with Confluent Cloud REST APIs. It integrates with AI tools such as Claude Desktop and Goose CLI, allowing users to manage Kafka topics, connectors, and Flink SQL statements conversationally. The project offers flexible configuration, CLI usage, and supports various transports for secure and customizable operations.

  115 36 MCP
• 31
  

  mcp-memgraph

  Expose Memgraph database features via the Model Context Protocol.

  mcp-memgraph provides an MCP (Model Context Protocol) server implementation, enabling Memgraph tools to be accessed over a lightweight STDIO protocol. It supports seamless integration with AI frameworks by standardizing context and communication for data-driven AI workflows. The toolkit is part of a larger suite for extending Memgraph with AI-powered capabilities, including tools for LangChain integration and automated database migration. Tested packages and usage examples are provided for quick adoption.

  52 5 MCP
• 32
  

  Neo4j MCP Clients & Servers

  Seamless natural language and knowledge graph integration for Neo4j via Model Context Protocol.

  Neo4j MCP Clients & Servers provide standardized interfaces that enable large language models and AI assistants to interact with Neo4j databases and cloud services using natural language through the Model Context Protocol (MCP). It includes multiple servers for translating natural language to Cypher queries, managing graph memory, handling Neo4j Aura cloud services, and supporting interactive data modeling. Multiple transport modes such as STDIO, HTTP, and SSE offer flexibility for various deployments including cloud and local environments.

  797 209 MCP
• 33
  

  Weaviate MCP Server

  A server implementation for the Model Context Protocol (MCP) built on Weaviate.

  Weaviate MCP Server provides a backend implementation of the Model Context Protocol, enabling interaction with Weaviate for managing, inserting, and querying context objects. The server facilitates object insertion and hybrid search retrieval, supporting context-driven workflows required for LLM orchestration and memory management. It includes tools for building and running a client application, showcasing integration with Weaviate's vector database.

  157 38 MCP
• 34
  

  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
• 35
  

  MKP

  A Model Context Protocol server enabling LLM-powered applications to interact with Kubernetes clusters.

  MKP is a Model Context Protocol (MCP) server designed for Kubernetes environments, allowing large language model (LLM) powered applications to list, retrieve, and apply Kubernetes resources through a standardized protocol interface. Built natively in Go, it utilizes Kubernetes API machinery to provide direct, type-safe, and reliable operations without dependencies on CLI tools. MKP offers a minimalist, pluggable design enabling universal resource support, including custom resource definitions, and includes built-in rate limiting for production readiness.

  54 5 MCP
• 36
  

  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
• 37
  

  MCP MongoDB Server

  A Model Context Protocol server for LLM interaction with MongoDB databases.

  MCP MongoDB Server enables large language models to interact with MongoDB databases through the standardized Model Context Protocol interface. It provides schema inspection, document querying, aggregation, and write operations with intelligent ObjectId handling and flexible read-only configurations. Designed for seamless integration with tools like Claude Desktop, it offers collection completions, schema inference, and robust support for both development and production environments.

  267 50 MCP
• 38
  

  mcp-k8s

  A Kubernetes MCP server enabling resource management via Model Control Protocol.

  mcp-k8s is a Kubernetes server that implements the Model Control Protocol (MCP), allowing users to interact with Kubernetes clusters through MCP-compatible tools. It supports querying and managing all Kubernetes resources, including custom resources, with fine-grained control over read and write operations. The server utilizes stdio communication and integrates with both Kubernetes and Helm, facilitating resource and Helm release management. It is designed to support natural language interactions with large language models for managing, diagnosing, and learning Kubernetes operations.

  129 25 MCP
• 39
  

  Modbus MCP Server

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

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

  18 7 MCP
• 40
  

  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
• 41
  

  Godot MCP

  A Model Context Protocol (MCP) server implementation using Godot and Node.js.

  Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

  1,071 124 MCP
• 42
  

  Grafana-Loki MCP Server

  A FastMCP server for querying Grafana Loki logs via the Model Context Protocol.

  Grafana-Loki MCP Server is a FastMCP-compliant server that enables querying and formatting of Grafana Loki logs using the Model Context Protocol (MCP). It supports various transport protocols (stdio and SSE) and provides tools for querying logs, retrieving labels and label values, and formatting log results in multiple output formats. The server integrates with Grafana's API, offering both command-line and environment variable configuration options for flexibility. Designed for seamless integration into AI model context workflows, it enhances log retrieval and processing in context-aware applications.

  18 3 MCP
• 43
  

  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
• 44
  

  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
• 45
  

  mcp-get

  A command-line tool for discovering, installing, and managing Model Context Protocol servers.

  mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

  497 103 MCP
• 46
  

  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
• 47
  

  XiYan MCP Server

  A server enabling natural language queries to SQL databases via the Model Context Protocol.

  XiYan MCP Server is a Model Context Protocol (MCP) compliant server that allows users to query SQL databases such as MySQL and PostgreSQL using natural language. It leverages the XiYanSQL model, providing state-of-the-art text-to-SQL translation and supports both general LLMs and local deployment for enhanced security. The server lists available database tables as resources and can read table contents, making it simple to integrate with different applications.

  218 43 MCP
• 48
  

  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
• 49
  

  PostHog MCP

  Easily deploy and manage Model Context Protocol servers across multiple platforms.

  PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

  138 23 MCP
• 50
  

  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