- Python developers building MCP servers
- Teams turning internal tools into agent-accessible connectors
- Builders prototyping MCP clients and servers quickly
Apache-2.0 · Plugins
FastMCP
Pythonic framework for building MCP servers and clients.
25K stars 2.0K forks Apache-2.0 license 2026-06-02 verified
$
pip install fastmcp Open sourceMCP
Overview
What is FastMCP?
FastMCP is an Apache-2.0 Python project for building Model Context Protocol servers and clients with a developer-friendly API.
Plugin
FastMCP surfaces plugin as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.Mcp
FastMCP surfaces mcp as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.Connectors
FastMCP surfaces connectors as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs. Install
One command to start
$
pip install fastmcp Use cases
What teams use it for
Ecosystem
Tags & capabilities
Comparison
How it stacks up
When to choose FastMCP
Compare it with nearby plugins by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
FAQ
Questions
What should I check before using FastMCP?
Connect one low-risk service or local server, then inspect auth scope, logs, schema clarity, and failure behavior.
Is FastMCP open source?
FastMCP is listed on OpenAgent.bot with Apache-2.0 based on the current resource metadata. Re-check the official repository, docs, and license before production use.
Decision brief
JSON
Should you use FastMCP?
- Teams that need a TypeScript-first MCP SDK
- Users who are not building MCP integrations
- Verified 2026-06-02
- License: Apache-2.0
- Repo: PrefectHQ/fastmcp
- Open-source signal
Deployment
cloud
Permission surface
shell/files, memory, external services
Decision signals
MCP
Agent packet
Structured decision data for FastMCP
This packet is the compact machine-readable view agents should use before following source links or taking action.
Capabilities
plugin, mcp, connectors
Constraints
open source, mcp compatible
Deployment
cloud
Permission surface
shell/files, memory, external services
Recommended workflows
Coding agent workflow, Connector or protocol layer
Overview
What FastMCP does
What it is
FastMCP is listed on OpenAgent.bot as a plugins resource for open AI builders.
Why it matters
MCP servers are becoming a common connector layer for agents. FastMCP gives Python builders a faster way to expose tools and data sources through that protocol.
How to evaluate it
Start from the official source links, then validate the project against your deployment needs, license requirements, and maintenance expectations.
Facts
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Resource type plugin
Category Plugins
Maturity active
Difficulty Unknown
License Apache-2.0
Pricing open source
Verified 2026-06-02
Source confidence high
Risk level elevated
Fit matrix
Where FastMCP fits in an agent stack
strong
Coding agent workflow
FastMCP has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong
Connector or protocol layer
FastMCP has multiple signals for connector or protocol layer, including matching tags, capabilities, category, or positioning.
- Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Memory or RAG workflow
FastMCP has at least one signal for memory or rag workflow, but should be checked against a real task before adoption.
- Create, update, retrieve, correct, and delete memory or retrieval objects with real data.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Reusable skill workflow
FastMCP has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.
- Run one skill end to end and check whether it produces evidence or structured output.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Browser automation
FastMCP is not primarily positioned for browser automation in the current metadata.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Evaluation and observability
FastMCP is not primarily positioned for evaluation and observability in the current metadata.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs
What an agent should inspect
Likely inputs
- Repositories, files, issues, terminal output, and test results
- Tool schemas, API requests, service resources, and auth scopes
- Prompts, messages, documents, images, or model inputs
- Official setup instructions and a small real workflow
Likely outputs
- Diffs, commits, explanations, test results, or review notes
- A decision on whether this resource fits the target workflow
Evidence
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
GitHub github
Repository source for code, license, issues, releases, and implementation details.
Homepage homepageOfficial or project-controlled source for this resource profile.
FastMCP is listed as open source.
License metadata: Apache-2.0FastMCP has a recorded GitHub repository: PrefectHQ/fastmcp.
Resource facts and GitHub source link.FastMCP supports these recorded deployment modes: cloud.
OpenAgent decision signal metadata.FastMCP is tagged with plugin, mcp, connectors capabilities.
OpenAgent capability taxonomy.- Dedicated docs link is missing.
- Repository freshness has not been recorded.
Next action
How to start evaluating FastMCP
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open sourceOpen Homepage
Start from the official source before adopting third-party instructions.
Open sourceInstall or run
Run only after checking the official source and local environment assumptions.
pip install fastmcp Compare
Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
FAQ
Common questions about FastMCP
What is FastMCP used for?
FastMCP is used as a plugin for plugins workflows. The most relevant recorded capabilities are plugin, mcp, connectors.
Is FastMCP open source?
FastMCP is listed as open source with Apache-2.0 license metadata. Re-check the official repository or source link before production use.
Can agents use FastMCP directly?
FastMCP has recorded interfaces such as repo, docs. Agents should prefer the JSON or Markdown profile first, then follow official docs for real execution.
What should I check before production use?
Check source confidence (high), risk level (elevated), license, maintenance freshness, permission surface, required credentials, and whether the first workflow succeeds in a sandbox.