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What is Obot MCP Gateway?

Obot serves as an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway, allowing organizations to have a centralized system for discovering, onboarding, managing, securing, and scaling MCP servers that connect large language models and AI agents with various enterprise systems, tools, and data sources. Its features include an MCP gateway, a catalog, an administrative console, and a chat interface that integrates seamlessly with identity providers like Okta, Google, and GitHub, facilitating the implementation of access control, authentication, and governance policies across MCP endpoints to ensure secure and compliant AI interactions. Furthermore, Obot enables IT teams to host both local and remote MCP servers, manage access through a secure gateway, set detailed user permissions, effectively log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents, thereby enhancing both operational flexibility and security. Additionally, this platform simplifies the integration of AI services, empowering organizations to utilize cutting-edge technologies while upholding strong governance and compliance standards. By streamlining these processes, Obot fosters an environment where innovation can thrive without compromising security or regulatory requirements.

What is FastMCP?

FastMCP is an innovative open-source framework built in Python that streamlines the development of Model Context Protocol (MCP) applications by simplifying the processes of creating, managing, and interacting with MCP servers, thereby allowing developers to focus on their essential business logic without getting bogged down by the intricacies of the protocol. The Model Context Protocol (MCP) provides a standardized approach for securely connecting large language models to various tools, data, and services, and FastMCP enhances this experience with a user-friendly API that minimizes boilerplate code through the use of Python decorators designed for registering tools, resources, and prompts. To establish a standard FastMCP server, one simply creates a FastMCP object, applies decorators to designate Python functions as tools that can be called by the LLM, and then activates the server using various built-in transport methods like stdio or HTTP; this configuration allows AI clients to interact with the code as though it were part of the model’s context. Furthermore, the architecture of FastMCP encourages efficient development practices, enabling teams to rapidly iterate on their projects while upholding superior standards of code quality and performance. This efficiency not only accelerates the development cycle but also enhances collaboration among team members, ensuring that everyone can contribute effectively to the project's advancement.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Amazon Web Services (AWS)
Claude
Claude Duet
Claude for Legal
Confluence
Cursor
GitHub
Google Cloud Platform
Jira
Kubernetes
Microsoft Outlook
Notion
Okta
Visual Studio Code
Zapier

Integrations Supported

Model Context Protocol (MCP)
Markdown
Python

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Obot

Date Founded

2022

Company Location

United States

Company Website

obot.ai/

Company Facts

Organization Name

fastmcp

Date Founded

2025

Company Location

United States

Company Website

gofastmcp.com/getting-started/welcome

Categories and Features

AI Control Planes

Not specified

MCP Gateways

Not specified

Categories and Features

MCP Gateways

Not specified

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