MCP servers that ship as code — a repository or a package you install and run locally (usually over stdio). They have no hosted endpoint, so we cannot probe or grade them: instead each one shows its repository, install command, license, stars and when it was last updated.
Collected from GitHub repositories and npm, PyPI, Cargo, Go, Maven, NuGet and RubyGems packages tagged as MCP servers, the official MCP Registry, Docker's MCP catalog, ModelScope, Baidu MCP World, Cline and other public directories; one entry per repository. A server that also offers a hosted endpoint is listed under Remote instead. These entries are not counted in our reachability, verification or readiness statistics.
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Claude Code plugin for Synapse, a compiler for AI agent workflows: compiles a workflow to a typed graph, optimizes it, and blocks any rewrite that fails an equivalence check. Side-effecting steps are never reordered, repeated or cached. MCP server + 4 slash commands.
MIT -
MCP server and CLI for automated GitHub PR management, review resolution, and workflow optimization
npm MIT -
Audit trails for AI agent workflows, with an MCP server, Python library, and quantum-inspired optimizer.
Apache-2.0 -
Smart MCP server for tool chaining and route optimization. Automatically discovers available MCP servers, analyzes their tools, and suggests optimal workflows for complex tasks.
GPL-3.0 ★ 1 -
open-source AI CMO . a marketing agent platform built as a transparent, customizable alternative to Okara.ai, designed to act as your AI-powered CMO by automating multi-channel growth workflows. It provides modular agents for Reddit and LinkedIn campaigns, SEO research and content optimization
AGPL-3.0 ★ 9 -
Embeddable and SEO-optimized presentation viewer built for humans and AI agent workflows
MIT ★ 18 -
Enhanced developer toolkit for Google Search Console data analysis and SEO optimization workflows.
MIT -
espresso-mcpgithub.com/vs4vijay/espresso-mcpupdated this year
An MCP Server for the Espresso Android Test Framework, crafted to improve testing capabilities and optimize development workflows.
MIT -
devflow-aigithub.com/being-bilal/devflow-aiupdated this year
A productivity assistant designed to help software developers manage tasks, schedule work sessions, and optimize their workflow through natural language interaction and integrated tools.
★ 1 -
Specialized MiniMax Model Context Protocol (MCP) server designed for coding-plan users, featuring AI-powered search and vision analysis APIs optimized for code development workflows
MIT ★ 101 -
Tinyman MCP Serverno update data
Provide seamless interaction with the Tinyman AMM protocol on Algorand blockchain through a set of MCP tools. Manage pools, perform asset swaps, and handle liquidity operations efficiently. Enable advanced analytics and asset management to optimize decentralized trading workflows.
smithery -
AI codebase context tool that analyzes, ranks, and compresses repositories into optimized context files for LLMs, AI coding assistants, and MCP workflows.
MIT ★ 9 -
Effortlessly resize, convert, optimize, and transform images with a single MCP server—then upload them directly to S3, Cloudflare R2, or Google Cloud Storage. Ideal for AI workflows, automation scripts, and developers who want seamless image handling in one tool.
MIT ★ 18 -
Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.
pypi MIT ★ 17 -
An intelligent multi-agent AI travel planning system that automates end-to-end trip creation. Powered by collaborative LLM agents, it synthesizes personalized itineraries, researches local attractions, estimates budgets, and optimizes schedules seamlessly. Designed to deliver efficient, tailormade travel plans via agentic workflows.
GPL-3.0 -
Deep Research Serverno update data
Perform comprehensive web research by combining AI-powered search and deep content crawling to gather extensive, up-to-date information on any topic. Aggregate and structure research data into detailed JSON outputs optimized for generating high-quality markdown documentation with LLMs. Customize documentation prompts and output paths to fit your workflow and save research results securely.
smithery -
RASONno update data
A complete AI infrastructure for analytical modeling — not just a REST API wrapper. Provides any MCP-compatible AI assistant with access to **[RASON](https://www.solver.com/rason)** by [Frontline Systems](https://www.solver.com) for building, analyzing, and solving optimization, simulation, data science, and decision models. Includes a searchable library of nearly 200 example models, starter templates for every model type, structural model analysis, and guided workflows for solving and result interpretation. An AI assistant connected to this server can formulate a model from a business problem description, find relevant examples, explain model structure, submit it for solving, and present results in a goal-oriented way — closing the loop with suggested next steps and improvements. **Example interactions:** - "Find me a portfolio optimization example" - "Build a scheduling model for 8 employees with shift constraints, solve it, and show the schedule" - "This model is infeasible — run diagnostics and suggest which constraints to relax"
smithery -
Zero-dependency context & token optimizer for Claude Code, Codex CLI, and Google Antigravity. Cuts terminal output by up to 96.4% to prevent context window exhaustion.
npm MIT -
MCP server for GitHub Actions intelligence: workflow performance, config audit, and billing analysis
npm MIT ★ 2 -
MCP server, written in Java 21 and compiled to a GraalVM native image, that reduces LLM token consumption in agentic coding workflows.
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The Web Browser for LLMs
NOASSERTION ★ 2 -
Reusable AI agent toolkit: Agent Skills, coding rules, MCP servers, Git workflows, frontend utilities, and TinyPNG image tools. 可复用 AI Agent 技能、规则与 MCP。
MIT -
Cross-platform CLI toolkit and local MCP server for AI coding agents. Optimizes context windows and token consumption by turning raw outputs into compact, deterministic Markdown/JSON reports.
MIT ★ 3 -
Domain-agnostic MCP server for autonomous experimentation with metric-driven keep/rollback decisions and reproducible experiment history.
Apache-2.0 ★ 3 -
Call the Google Antigravity CLI (agy) headlessly from any non-TTY context — Windows ConPTY + POSIX pty + MCP server. Fixes the empty-output bug (#76).
MIT ★ 20 -
Seamlessly integrating APIs, advanced AI, and intelligent automation with Github & X, this state-of-the-art MCP framework revolutionizes server & client-side functionality. 🚀 With features like AI-powered Intelligent Notifications, it predicts critical updates and delivers custom alerts via email, ensuring smarter workflows.
MIT ★ 3 -
OptiForge (光匠) — AI-native optical design & lens engineering platform over the Zemax/OpticStudio ZOS-API. MCP server: 5-stage design workflow, executable quality gates, aberration & tolerance analysis, CAD/ISO 10110 deliverables.
MIT ★ 5 -
High-Trust Open-Core framework for Windows AI Agents. Crushes latency to 3.9ms, enables background UIA invocation, and protects enterprise RPA workflows.
MIT ★ 3 -
StudioMeyer GEO — AI visibility monitoring MCP server. 30 tools + 5 expert workflows across 8 LLM platforms. Hosted connector: geo.studiomeyer.io/mcp
MIT ★ 3 -
cloudscope-mcpgithub.com/alexpota/cloudscope-mcpupdated this year
Multi-cloud cost management MCP server (Azure + GCP). Read-only access to spending, anomalies, forecasts, budgets, and guided FinOps workflows. Ask your AI about your cloud bill.
MIT ★ 1 -
Reference implementation of Anthropic's 'Code execution with MCP.' Reuses Claude Code's own sandbox and config to keep intermediate tool output out of the context window on every workflow — up to 99% fewer tokens.
MIT ★ 1