Open Source Model Context Protocol (MCP) Servers - Page 7

Model Context Protocol (MCP) Servers

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  • Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers. Icon
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  • 1
    MetaMCP

    MetaMCP

    MCP Aggregator, Orchestrator, Middleware, Gateway in one docker

    MetaMCP is an all-in-one MCP aggregator, orchestrator, and middleware that merges many MCP servers into a single, policy-aware server you can point any MCP client at. It’s built to centralize discovery, apply middlewares (e.g., auth, rate limits, transforms), and present a unified catalog of tools and resources from diverse backends. The repository and site describe it as “the one MCP to manage all your MCPs,” with diagrams and examples showing how to compose fleets behind a single endpoint. It ships Dockerized for quick deployment and emphasizes dynamic aggregation so teams can register or remove servers without restarting clients. The org maintains related repos and a GUI app for cloud and self-hosted setups, with a note that the cloud demo is outdated while the open-source v2 evolves. Overall, MetaMCP aims to simplify multi-server MCP operations for individuals and organizations.
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  • 2
    MindsDB

    MindsDB

    Making Enterprise Data Intelligent and Responsive for AI

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. A federated query engine that tidies up your data-sprawl chaos while meticulously answering every single question you throw at it. MindsDB has an MCP server built in that enables your MCP applications to connect, unify and respond to questions over large-scale federated data—spanning databases, data warehouses, and SaaS applications.
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  • 3
    Model Context Protocol (MCP) Servers

    Model Context Protocol (MCP) Servers

    Model Context Protocol Servers

    The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
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  • 4
    ModelContextProtocol.NET

    ModelContextProtocol.NET

    A C# SDK implementation of the Model Context Protocol (MCP)

    ModelContextProtocol.NET is a C# SDK that implements the Model Context Protocol (MCP), allowing developers to build MCP servers on the .NET platform. It supports standard input/output communication and provides a framework for tool integration. The SDK is compatible with Native AOT, enhancing performance and deployment flexibility. A calculator demo implementation is included to demonstrate its capabilities. Features under development include WebSocket support, resource management, and a prompt system. ​
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    Dominate AI Search Results

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    AthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
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  • 5
    Nile MCP Server

    Nile MCP Server

    MCP server for Nile Database - Manage and query databases

    The Nile MCP Server is a Model Context Protocol (MCP) server implementation designed for the Nile database platform. It allows Large Language Model (LLM) applications to interact with the Nile platform through a standardized interface, facilitating seamless management and querying of databases, tenants, users, and authentication processes. ​
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  • 6
    OctoMind MCP

    OctoMind MCP

    An MCP server for octomind tools, resources and prompts

    The Octomind MCP Server is designed to integrate Octomind's end-to-end testing tools and resources into local development environments. It enables AI-powered interfaces to create, execute, and manage e2e tests, enhancing the testing workflow. ​
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  • 7
    OpenDataMCP

    OpenDataMCP

    Connect any Open Data to any LLM with Model Context Protocol

    An initiative aimed at connecting open datasets to Large Language Models (LLMs) using the Model Context Protocol, facilitating seamless access and integration of public data into AI applications. ​
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  • 8
    Postman MCP Server

    Postman MCP Server

    An MCP server that provides access to Postman

    The Postman MCP Server is a TypeScript-based Model Context Protocol (MCP) server that integrates with the Postman API, providing comprehensive management of Postman collections, environments, etc.
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  • 9
    Quarkus MCP Server

    Quarkus MCP Server

    This extension enables developers to implement the MCP server

    The quarkus-mcp-server is a Quarkus extension that enables developers to implement Model Context Protocol (MCP) server features easily. It provides both declarative and programmatic APIs, simplifying the process of integrating MCP functionalities into Quarkus applications. This extension is part of the Quarkiverse, a hub for Quarkus extensions contributed by the community. ​
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  • PageDNA: Web-to-Print eCommerce Software Icon
    PageDNA: Web-to-Print eCommerce Software

    eCommerce for Print, Signs and Fulfillment Trusted by In‑Plants and Commercial Print Leaders

    PageDNA enables successful eCommerce strategies for commercial print sales organizations, internal print shops, and brand owners. PageDNA’s online ordering platform increases print volume while decreasing touch costs for all stakeholders: clientele, print operations, and the organizations they support.
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  • 10
    Replicate Flux MCP

    Replicate Flux MCP

    MCP for Replicate Flux Model

    The Replicate Flux MCP is an advanced Model Context Protocol server that empowers AI assistants to generate high-quality images and vector graphics. It leverages Black Forest Labs' Flux Schnell model for raster images and Recraft's V3 SVG model for vector graphics via the Replicate API. ​
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  • 11
    Rust Docs MCP Server

    Rust Docs MCP Server

    Prevents outdated Rust code suggestions from AI assistants

    The Rust Docs MCP Server fetches documentation for specified Rust crates, generates embeddings for the content, and provides an MCP tool to answer questions about the crate based on the documentation context. ​
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  • 12
    Search1API MCP

    Search1API MCP

    A Model Context Protocol (MCP) server

    The Search1API MCP Server is a Model Context Protocol server that provides search and crawl functionality using Search1API. It enables web and news searches, content extraction, and sitemap retrieval, integrating seamlessly with MCP clients. ​
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  • 13
    Simple MCP

    Simple MCP

    A simple TypeScript library for creating MCP servers

    simple-mcp is a TypeScript library designed to facilitate the creation of Model Context Protocol (MCP) servers. It offers a straightforward API, enabling developers to set up MCP servers with minimal code. The library emphasizes type safety through full TypeScript integration and incorporates parameter validation using Zod. It fully implements the MCP, ensuring compatibility with MCP clients. ​
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  • 14
    Solana Agent Kit

    Solana Agent Kit

    Connect any ai agents to solana protocols

    solana-agent-kit is an open-source toolkit that enables AI agents to connect with Solana blockchain protocols. It allows any AI agent, regardless of the underlying model, to autonomously perform over 60 Solana actions, including token trading, launching new tokens, lending assets, sending compressed airdrops, executing blinks, launching tokens on Automated Market Makers (AMMs), and bridging tokens across chains. ​
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  • 15
    SonarQube MCP Server

    SonarQube MCP Server

    Model Context Protocol (MCP) server for SonarQube

    The SonarQube MCP Server is a Rust implementation that integrates SonarQube's code quality analysis with AI assistants through the Model Context Protocol. It provides access to code metrics, issues, quality gate statuses, and project quality analysis. ​
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  • 16
    Starknet MCP Server

    Starknet MCP Server

    MCP server that provides LLM with tools for interacting with Starknet

    Starknet MCP Server is a comprehensive Model Context Protocol (MCP) server for the Starknet blockchain. It provides AI agents with the ability to interact with Starknet networks, query blockchain data, manage wallets, and interact with smart contracts. ​
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  • 17
    Supabase MCP Server

    Supabase MCP Server

    Query MCP enables end-to-end management of Supabase via chat interface

    An open-source MCP server that enables comprehensive management of Supabase projects through natural language interactions, providing capabilities such as SQL execution, schema management, and API integration. ​
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  • 18
    Template MCP Server

    Template MCP Server

    Template to quickly set up your own MCP server

    The template-mcp-server is a TypeScript-based template designed to expedite the setup of Model Context Protocol (MCP) servers. It provides a basic server configuration with options for both standard input/output and HTTP transport using FastMCP. The template includes a structured framework for defining MCP tools, resources, and prompts, along with TypeScript configuration and development scripts. ​
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  • 19
    The Web MCP

    The Web MCP

    A powerful Model Context Protocol (MCP) server

    Bright Data’s Web MCP server gives AI assistants robust, real-time web capabilities through an MCP interface designed to avoid blocks, rate limits, and CAPTCHAs. It presents search, crawl, navigate, and extraction tools that agents can call directly, replacing brittle scraping prompts with typed operations. The README markets it as a “gateway” to the live web so assistants don’t fall back to stale training data. Bright Data also advertises a getting-started tier with a free monthly allotment, plus options for remote or self-hosted operation depending on governance needs. Ecosystem materials and examples show how it plugs into MCP-capable runtimes and agent frameworks. Overall, the project is aimed at making web intelligence a reliable building block for agent workflows.
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  • 20
    TikTok MCP

    TikTok MCP

    Model Context Protocol (MCP) with TikTok integration

    The TikTok MCP integrates TikTok access into AI applications like Claude AI via TikNeuron. It enables analysis and interaction with TikTok content to determine virality factors and extract video content. ​
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  • 21
    UltraRAG

    UltraRAG

    Less Code, Lower Barrier, Faster Deployment

    UltraRAG 2.0 is a low-code, MCP-enabled RAG framework that aims to lower the barrier to building complex retrieval pipelines for research and production. It provides end-to-end recipes—from encoding and indexing corpora to deploying retrievers and LLMs—so users can reproduce baselines and iterate rapidly. The toolkit comes with built-in support for popular RAG datasets, large corpora, and canonical baselines, plus documentation that walks from “quick start” to debugging and case analysis. It encourages pipeline composition via configuration, enabling researchers to swap retrievers, rerankers, and generators without heavy refactoring. Community posts highlight its focus on reducing engineering overhead so more effort goes to experimental design. Backed by the OpenBMB org, it is actively maintained with tutorials and updates.
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  • 22
    Unla

    Unla

    Gateway service that instantly transforms existing MCP Servers

    Unla is a lightweight, highly available MCP gateway written in Go that turns existing MCP servers or ordinary HTTP APIs into MCP-compliant services through configuration, not code changes. Its goal is to let teams “wire up” tools they already run—internal REST endpoints, third-party APIs, or local MCP servers—and present a single, reliable MCP interface to clients like Claude Desktop, Cursor, and IDEs. The gateway focuses on operational concerns you’d expect in production: multi-instance availability, health checking, and declarative routing that maps upstreams to MCP tools and resources. A quick-start and CLI make it easy to stand up an API server, while the package structure exposes helpers for people who want to embed or extend the gateway. Because it is itself MCP-speaking, Unla can sit in front of mixed fleets and normalize transports and schemas for clients. Documentation and pkg.go.dev pages reinforce the positioning as a stable, Go-native building block for MCP deployments.
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  • 23
    Vectorize MCP Server

    Vectorize MCP Server

    Official Vectorize MCP Server

    The Vectorize MCP Server is a Model Context Protocol server that integrates with Vectorize, offering advanced vector retrieval and text extraction capabilities. ​
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  • 24
    VikingDB MCP Server

    VikingDB MCP Server

    A mcp server for vikingdb store and search

    An MCP server that interfaces with VikingDB, a high-performance vector database developed by ByteDance, enabling efficient vector storage and search capabilities. ​
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  • 25
    Wanaku

    Wanaku

    Wanaku MCP Router

    Wanaku is an MCP Router designed to connect AI-enabled applications using the Model Context Protocol. Built on top of Apache Camel and Quarkus, it offers unmatched connectivity, speed, and reliability for AI agents, facilitating seamless integration across various services and platforms. ​
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