Data and AI Pipeline · Preview

fastmcp

Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.

Data pipelineAI workflowState managementLatencyRecovery

Best fitDevelopers who need data streams, realtime processing, or AI pipelines inside a verifiable engineering workflow.

Check whether this project matches your task before installing it.

What it can doInput/output contracts, state checks, latency budgets, failure recovery, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot26k stars

2.1k forks · 251 contributors

Doramagic.ai Last verification date: 2026-06-21 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Preview status · 2026-06-21

What is fastmcp?

fastmcp helps build, run, or validate data and AI pipelines.
Best fit: Developers who need data streams, realtime processing, or AI pipelines inside a verifiable engineering workflow.
Not for: Not for users without clear inputs/outputs, isolated data sources, or those who only need a one-off script.
Capability added to an AI workflow: Input/output contracts, state checks, latency budgets, failure recovery, and acceptance checks
First safe verification step: Verify inputs, outputs, state, and recovery with a small sample dataset first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/PrefectHQ/fastmcp, https://github.com/PrefectHQ/fastmcp#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need data streams, realtime processing, or AI pipelines inside a verifiable engineering workflow.

Match the project to your task before installing it.

CapabilityInput/output contracts, state checks, latency budgets, failure recovery, and acceptance checks

Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.

RepositoryPrefectHQ/fastmcp

26k stars · 2.1k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview and Core Architecture

Related topics: Server Core: Tools, Resources, Prompts, and Middleware, Authentication, Providers, and Proxy

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Server Core: Tools, Resources, Prompts, and Middleware

Related topics: Overview and Core Architecture, Authentication, Providers, and Proxy, Clients, Apps, Tasks, and Extensibility

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Authentication, Providers, and Proxy

Related topics: Overview and Core Architecture, Clients, Apps, Tasks, and Extensibility

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Clients, Apps, Tasks, and Extensibility

Related topics: Overview and Core Architecture, Server Core: Tools, Resources, Prompts, and Middleware

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/PrefectHQ/fastmcp, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars26k stars

Forks2.1k forks

Contributors251 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using fastmcp with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
feat: FastMCP(default_tool_timeout=...) for server-wide tool timeout def
github / github_issue
02
CIMD redirect_uri validation rejects loopback URIs with dynamic ports (R
github / github_issue
03
Upgrade checks failing on main branch
github / github_issue
04
caching middleware broken
github / github_issue
05
RateLimitingMiddleware.get_client_id passing an async callable silently
github / github_issue
06
FastMCP StatefulProxyClient.clear() can cause KeyError during proxy sess
github / github_issue
07
No guardrails against destructive tool capabilities (shell exec, file de
github / github_issue
08
expand_uri_template and match_uri_template do not round-trip path values
github / github_issue
09
on_message middleware not called for unauthenticated requests
github / github_issue
10
RecursionError in json_schema_to_type on self-referential $ref in tool o
github / github_issue
11
feat: hook or factory for customizing tool timeout error messages and ty
github / github_issue
12
v3.4.2: Heads Up
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

uv pip install fastmcp

Official start command · https://github.com/PrefectHQ/fastmcp#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

fastmcp Manual

🚀 The fast, Pythonic way to build MCP servers and clients.

Open the full manual

https://github.com/PrefectHQ/fastmcp Project Manual
Table of Contents
Overview and Core Architecture
Related Pages
Purpose and Scope
Core Architecture Components
Server Layer and the Provider/Component Model
Client Layer and Mixin Architecture

Overview and Core Architecture

Related topics: Server Core: Tools, Resources, Prompts, and Middleware, Authentication, Providers, and Proxy

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Server Core: Tools, Resources, Prompts, and Middleware

Related topics: Overview and Core Architecture, Authentication, Providers, and Proxy, Clients, Apps, Tasks, and Extensibility

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Authentication, Providers, and Proxy

Related topics: Overview and Core Architecture, Clients, Apps, Tasks, and Extensibility

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Clients, Apps, Tasks, and Extensibility

Related topics: Overview and Core Architecture, Server Core: Tools, Resources, Prompts, and Middleware

Source: https://github.com/PrefectHQ/fastmcp / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This preview remains noindex and excluded from sitemap/llms citation targets until English quality and index gates pass.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: No guardrails against destructive tool capabilities (shell exec, file deletion, env access)

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: on_message middleware not called for unauthenticated requests