FastMCPfastmcp
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Related Products
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About
FastMCP is an open source, Pythonic framework for building Model Context Protocol (MCP) applications that makes creating, managing, and interacting with MCP servers simple and production-ready by handling the protocol’s complexity so developers can focus on business logic. The Model Context Protocol (MCP) is a standardized way for large language models to securely connect to tools, data, and services, and FastMCP provides a clean API to implement that protocol with minimal boilerplate, using Python decorators to register tools, resources, and prompts. A typical FastMCP server is created by instantiating a FastMCP object, decorating Python functions as tools (functions the LLM can invoke), and then running the server with built-in transport options like stdio or HTTP; this lets AI clients call into your code as if it were part of the model’s context.
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About
StackOne is an AI agent integration platform that enables developers and enterprises to connect autonomous AI agents with business applications, data sources, and enterprise workflows. The platform provides more than 570 prebuilt connectors and 35,000 actions across CRM, HR, recruiting, finance, customer support, identity management, and productivity systems. It supports Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, REST APIs, and software development kits for integrating AI agents with external services. Managed authentication handles OAuth, SAML, API keys, and credential management, while granular permissions control which actions and data each agent can access. Its security capabilities include prompt injection detection, audit logging, execution monitoring, and configurable access policies. StackOne also provides AI-assisted connector development, dynamic tool discovery, data synchronization, and token optimization to help organizations deploy and manage agents.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Python developers and AI engineers who want a high-level, production-ready framework to build and deploy MCP servers that expose tools and data to LLMs securely and efficiently
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Audience
AI agent developers, software engineers, enterprise IT teams, automation specialists, SaaS companies, AI platform providers, integration engineers, DevOps professionals, security administrators, and organizations seeking secure enterprise application connectivity, managed authentication, MCP integrations, agent governance, and reliable execution of autonomous AI workflows
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
$600/month
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company Informationfastmcp
Founded: 2025
United States
gofastmcp.com/getting-started/welcome
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Company InformationStackOne
Founded: 2023
United States
www.stackone.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Model Context Protocol (MCP)
Supported
BambooHR
Not Supported
Deel
Not Supported
Disco.dev
Not Supported
Freshteam
Not Supported
Gusto
Not Supported
HiBob
Not Supported
Humaans
Not Supported
Markdown
Supported
Namely
Not Supported
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Integrations
Model Context Protocol (MCP)
Supported
BambooHR
Supported
Deel
Supported
Disco.dev
Supported
Freshteam
Supported
Gusto
Supported
HiBob
Supported
Humaans
Supported
Markdown
Not Supported
Namely
Supported
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