Open Source TypeScript Model Context Protocol (MCP) Servers - Page 3

TypeScript Model Context Protocol (MCP) Servers

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Browse free open source TypeScript Model Context Protocol (MCP) Servers and projects below. Use the toggles on the left to filter open source TypeScript Model Context Protocol (MCP) Servers by OS, license, language, programming language, and project status.

  • The Most Powerful Software Platform for EHSQ and ESG Management Icon
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  • 1
    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. ​
    Downloads: 0 This Week
    Last Update:
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  • 2
    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. ​
    Downloads: 0 This Week
    Last Update:
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  • 3
    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. ​
    Downloads: 0 This Week
    Last Update:
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  • 4
    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. ​
    Downloads: 0 This Week
    Last Update:
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  • Intelligent testing agents | Checksum.ai Icon
    Intelligent testing agents | Checksum.ai

    Checksum generates, runs, and maintains end-to-end tests automatically so your team ships with confidence as code output grows.

    Coding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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  • 5
    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. ​
    Downloads: 0 This Week
    Last Update:
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  • 6
    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.
    Downloads: 0 This Week
    Last Update:
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  • 7
    XcodeBuildMCP

    XcodeBuildMCP

    A Model Context Protocol (MCP) server

    XcodeBuildMCP is a Model Context Protocol server that exposes Xcode operations as typed tools and resources so AI assistants can build, test, and debug iOS apps programmatically. It’s organized with a modern plugin architecture and workflow-scoped tool directories, covering common developer actions across projects, schemes, targets, simulators, real devices, and Swift packages. The server aims to be “agent-ready,” surfacing capabilities (build, clean, test, archive, install, run, log collection) with explicit schemas instead of brittle prompt instructions. It supports MCP transports suitable for local IDEs and service deployments, and pairs with a public website that positions it as a bridge between Xcode and autonomous assistants. Documentation and marketing materials emphasize end-to-end flows such as fixing build errors, managing simulators, and deploying to devices via natural-language requests.
    Downloads: 0 This Week
    Last Update:
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  • 8
    iTerm MCP

    iTerm MCP

    A Model Context Protocol server that executes commands

    A Model Context Protocol server that executes commands in the current iTerm session, providing AI assistants with the ability to interact with REPL environments and command-line interfaces. ​
    Downloads: 0 This Week
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  • 9
    mcp-server-chatsum

    mcp-server-chatsum

    Query and Summarize your chat messages

    mcp-server-chatsum is an MCP server that indexes your chat history and provides tools to query and produce focused summaries on demand. It offers a simple flow: point the server at a local chat database, run the companion chatbot to ingest messages, and then use the MCP tool to retrieve scoped threads and generate concise syntheses. The tool design lets agents filter by participants, time ranges, or keywords before summarizing, which keeps outputs relevant and reduces hallucinated context. Documentation provides a “before you start” checklist to initialize the dataset and highlights the single tool (query_chat_messages) that returns results and summaries. Although releases are minimal, the code and README are sufficient for local setups and experimentation. It’s a practical utility for converting long chat logs into usable, agent-friendly context.
    Downloads: 0 This Week
    Last Update:
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    Diagnose and Resolve IT Issues in Real Time

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