Open-source MCP servers written in TypeScript / Node.js — ready to install into Claude Desktop, Cursor, Windsurf, and Cline. Ranked by stars, quality score, and community activity.
TypeScript MCP Servers tools are AI-powered software designed to help developers and teams tackle typescript mcp servers-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 30 quality-scored typescript mcp servers tools across languages including TypeScript, JavaScript.
In 2026, the AI agent ecosystem is maturing rapidly. TypeScript MCP Servers tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — mcp-fusion, mcp-server-atlassian-bitbucket, mcp-server-atlassian-jira — have earned an average of 758 GitHub stars, reflecting strong community validation. 22 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a typescript mcp servers tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is TypeScript; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with mcp-fusion — it ranks highest in both star count and quality score.
MCP Fusion - The framework for AI-native MCP servers.
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction
One secure endpoint for every MCP server. Deploy anywhere.
📜 An MCP server for conversation history search and retrieval in Claude Code
Absurdly easy Model Context Protocol Servers in Typescript
【Star-crossed coders unite!⭐️】Model Context Protocol (MCP) server implementation providing Google News search capabilities via SerpAPI, with automatic news categorization and multi-language support.
A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI
A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI
MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resource Templates for client-side exploration.
A high-performance Model Context Protocol (MCP) server that provides secure filesystem access for Claude and other AI assistants.
ČSFD API in JavaScript. Amazing NPM library for scrapping csfd.cz. Now with MCP server
A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators through natural language commands.
TypeScript framework for building production MCP servers. Fluent tool API, FSM gating, presenters, semantic routing, cache hints, Zod validation. Model-View-Agent architecture for the Model Context Protocol.
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
MCP server to provide Figma layout information to AI coding agents like Cursor
Operations substrate for AI agents that use real software: 311 sites/tools, logged-in browsers, desktop apps, local tools, MCP, policy, evidence, AgentEnvelope v2, and self-repair.
One install. Shared memory, smart routing, disciplined workflow, multi-AI audits -- across every AI coding agent. No BS.
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTTP API. Works with Cursor, Claude Code, Codex, and any MCP-compatible agent.
Security-first platform for AI agents. 38 specialized agents, 15 AI-powered extensions, zero-knowledge multi-agent orchestration. SENTINEL WAF, Ed25519 auth, 2.6M grounding facts.
Calendar sync tool & universal calendar MCP server. Aggregate, sync and control calendars on Google, Outlook, Office 365, iCloud, CalDAV or ICS.
Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.
Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.
Cross-session context for Claude Code. CLI + MCP server + /story skill that tracks tickets, issues, handovers, and roadmap in a .story/ directory.
AI assistant integration for n8n workflow automation through Model Context Protocol (MCP). Connect Claude Desktop, ChatGPT, and other AI assistants to n8n for natural language workflow management.
Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| mcp-fusion | ★ 204 | TypeScript | Apache-2.0 | 34 |
| mcp-server-atlassian-bitbucket | ★ 123 | TypeScript | — | 35 |
| mcp-server-atlassian-jira | ★ 60 | TypeScript | — | 33 |
| mcp-server-atlassian-confluence | ★ 50 | TypeScript | — | 32 |
| minecraft-mcp-server | ★ 535 | TypeScript | Apache-2.0 | 43 |
| mesh | ★ 337 | TypeScript | — | 35 |
| claude-historian-mcp | ★ 178 | TypeScript | MIT | 39 |
| easy-mcp | ★ 192 | TypeScript | MIT | 30 |
| server-google-news | ★ 119 | TypeScript | MIT | 45 |
| deep-code-reasoning-mcp | ★ 105 | TypeScript | MIT | 46 |
| deep-code-reasoning-mcp | ★ 102 | TypeScript | MIT | 37 |
| mcp-openapi-schema-explorer | ★ 71 | TypeScript | MIT | 39 |
| fast-filesystem-mcp | ★ 54 | TypeScript | Apache-2.0 | 42 |
| node-csfd-api | ★ 52 | TypeScript | MIT | 37 |
| mcp-server-simulator-ios-idb | ★ 298 | TypeScript | Apache-2.0 | 36 |
| vurb.ts | ★ 251 | TypeScript | Apache-2.0 | 38 |
| studio | ★ 373 | TypeScript | — | 38 |
| claude-emporium | ★ 274 | JavaScript | — | 40 |
| Figma-Context-MCP | ★ 14.6k | TypeScript | MIT | 50 |
| Uni-CLI | ★ 189 | TypeScript | Apache-2.0 | 37 |
| ijfw | ★ 156 | JavaScript | MIT | 39 |
| deterministic-agent-control-protocol | ★ 145 | TypeScript | MIT | 38 |
| nothumanallowed | ★ 97 | JavaScript | MIT | 35 |
| keeper.sh | ★ 1.1k | TypeScript | AGPL-3.0 | 43 |
| drift | ★ 782 | TypeScript | — | 39 |
| Overture | ★ 592 | TypeScript | MIT | 36 |
| storybloq | ★ 549 | TypeScript | — | 37 |
| n8n-workflow-builder | ★ 503 | JavaScript | MIT | 40 |
| reddit-mcp-buddy | ★ 430 | TypeScript | MIT | 40 |
| mcp-google-map | ★ 270 | TypeScript | MIT | 45 |
The top typescript mcp servers in 2026 are mcp-fusion, mcp-server-atlassian-bitbucket, mcp-server-atlassian-jira. Agent Skills Hub ranks 30 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
mcp-fusion (204 stars) is the most adopted choice for general typescript mcp servers workflows, written in TypeScript. mcp-server-atlassian-bitbucket (123 stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with mcp-fusion — it has the deepest community and the most examples online.
Avoid pre-built typescript mcp servers when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
TypeScript MCP Servers focuses specifically on open-source mcp servers written in typescript / node.js — ready to install into claude desktop, cursor, windsurf, and cline. ranked by stars, quality score, and community activity. Free MCP Servers is a related but distinct category — see https://agentskillshub.top/best/free-mcp-servers/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose typescript mcp servers when your primary goal is the specific task, and free mcp servers when the workflow is broader.
For most teams, yes. mcp-fusion has 204 stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most typescript mcp servers listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.