๐ The fast, Pythonic way to build MCP servers and clients.
Star History
Momentum
+698
STARS ยท LAST 30 DAYS
23
PER DAY
#72
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +161 | +698 | +2.1K |
| Per day | 23 | 23 | 23 |
| Forks gained | +12 | +48 | +120 |
fastmcp gained 698 stars in the last 30 days, about 23 a day, and now has 27.9K. It is about 2 years old and has averaged roughly 14K stars a year. It ranks #72 among Python repositories and #345 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#948
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
fastmcp has maintained a continuous presence across global trending indexes, peaking at #948. Below is the 30-day activity profile:
๐ก Overview
fastmcp is an open-source project written in Python: ๐ The fast, Pythonic way to build MCP servers and clients.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, fastmcp, llms. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
๐ฅ Installation
$ pip install fastmcpโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
fastmcp coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with fastmcp.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
๐ Getting Started
Install fastmcp using your package manager: `pip install fastmcp`
Initialize your project workspace or configuration file for fastmcp.
Import fastmcp into your codebase or invoke it directly from your terminal.
Execute your test suite or run `fastmcp --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
PrefectHQ/fastmcp is currently ranked #345 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #340 | yamadashy/repomix | TypeScript | โ 28.5K | Compare โ |
| #341 | kestra-io/kestra | Java | โ 28.4K | Compare โ |
| #342 | mobxjs/mobx | TypeScript | โ 28.2K | Compare โ |
| #343 | bagisto/bagisto | PHP | โ 28.2K | Compare โ |
| #344 | QwenLM/qwen-code | TypeScript | โ 28.1K | Compare โ |
| #345 | PrefectHQ/fastmcp This Project | Python | โ 27.9K | |
| #346 | eslint/eslint | JavaScript | โ 27.5K | Compare โ |
| #347 | charmbracelet/glow | Go | โ 27.5K | Compare โ |
| #348 | Wox-launcher/Wox | Go | โ 27.5K | Compare โ |
| #349 | GraphiteEditor/Graphite | Rust | โ 27.4K | Compare โ |
| #350 | badges/shields | JavaScript | โ 27.2K | Compare โ |
Frequently Asked Questions
What does fastmcp do? +
๐ The fast, Pythonic way to build MCP servers and clients.
What language is fastmcp written in? +
The primary language is Python. Topics include: agents, fastmcp, llms, mcp, mcp-clients.
Is fastmcp actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 363 open issues being tracked.
How many stars does fastmcp have? +
fastmcp has 27,905 stars and 2,402 forks on GitHub.
How does fastmcp rank among GitHub repositories? +
With 27,905 stars, PrefectHQ/fastmcp is ranked #345 globally across all repositories tracked on GitHubRepo and #72 among Python projects.
What license is fastmcp distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
