Add Fastn UCL as a Production-Ready MCP Server within the list

[usmanaslam712]

Description

This PR adds Fastn UCL as a new, fully-compliant MCP server implementation.

Fastn UCL is a production-grade platform that enables AI agents to execute commands across 1000+ tools using a unified /command endpoint and MCP-compatible structure. It supports secure multi-tenant execution, context-aware routing, and reusable command schemas — all optimized for modern LLM-based orchestration platforms.

Server Details

• Server: Fastn UCL
• Changes to: Added a new folder fastn-ucl/ with full documentation, and added Fastn UCL to the root README server list.

Motivation and Context

Fastn UCL was built specifically to abstract the complexity of using external APIs for AI agents and orchestration platforms. It aligns directly with the goals of the Model Context Protocol — providing a single /command interface, context-passing, and structured execution. This addition expands the range of real-world, production-ready MCP implementations available in the ecosystem.

How Has This Been Tested?

Fastn UCL has been tested across multiple agent platforms including:

• CrewAI (multi-agent LLM workflows)
• LangChain (tool usage in chains)
• LlamaIndex (RAG agents triggering real-world actions)
• Voice agents with LiveKit

Breaking Changes

No breaking changes. This is an additive update introducing a new server directory.

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Documentation update

Checklist

• I have read the MCP Protocol Documentation
• My changes follows MCP security best practices
• I have updated the server's README accordingly
• I have tested this with an LLM client
• My code follows the repository's style guidelines
• New and existing tests pass locally
• I have added appropriate error handling
• I have documented all environment variables and configuration options

Additional context

Fastn UCL is used in production by multiple early-stage AI platforms and offers:

• Full API, SDK, and hosted dashboard
• Embeddable connector management
• SOC 2 Type II, GDPR, HIPAA-compliant infrastructure

For a complete walkthrough: https://docs.fastn.ai/

[domdomegg]

Thanks for your contribution! While we appreciate the thought you've put into this, it doesn't align with our current plans. Possibly this could fit as a single line addition under the 'Frameworks' section of the README, although it's not quite clear from the materials exactly whether Fastn UCL really is this - clarifying this would help us accept a PR for that.

We'd encourage you to check out our contributor guidelines and roadmap to see what areas we're actively looking for help with. Thanks for understanding!