Supports environment variable interpolation for API tokens and sensitive data through .env files, allowing secure storage of credentials used in API configurations.
Provides installation through the npm package registry with global installation support via 'npm install -g mcp-yaml-api'.
Enables defining and configuring multiple API endpoints using YAML syntax, supporting various HTTP methods, parameter generation, and request configurations.
A Model Context Protocol (MCP) server that call APIs using YAML config files.
This server allows you connect to APIs using simple a config YAML file! 🤩
Ideal for: #lazy-programmers #nocode #lowcode #ai-integrators #automation #api-gateway #data-pipelines #rapid-prototyping #llm-integration #makers
If you don't have advance APIs call skills using a programming language or you just want a fast way to connect your AI model with an API using MCP, you will LOVE 💖 this MCP.
Your help would really motivate me to get it done by May 30th, 2025!
Make a reaction and give me a motivational comment on mcp.so repository
... and yes. A donation to help cover my coffee and rent would be amazing! 🙏🙏
Configure multiple API endpoints using YAML
Automatic MCP tool creation from YAML config file.
Automatic MCP fetch API creation from YAML config file.
Supports all HTTP methods (GET, POST, PATCH, PUT, DELETE) [✨PARTIAL✨]
Set API Headers [✨COMMING SOON✨]
Set API path parameters (like /users/:id) [✨COMMING SOON✨]
Set API Token [✨COMMING SOON✨]
Environment variable interpolation for sensitive data [✨COMMING SOON✨]
Automatic parameter generation from URL templates [✨COMMING SOON✨]
...and best of all, SAVE COUNTLESS HOURS FOR HUMANITY 👏😎😉 by connecting your LLM to any API.
Connect to N8N, Make.com or Zapier webhook: Make actions in other platforms connecting to automations or integration tools.
AI Model Integration: Quickly connect LLMs or other AI models to external APIs for data retrieval, enrichment, or action execution without custom code.
Rapid Prototyping: Build and test API workflows using YAML configuration, ideal for hackathons, demos, or proof-of-concept projects.
No-Code/Low-Code Automation: Enable non-developers to define and call APIs securely using simple YAML files and environment variables.
Data Pipelines: Orchestrate API calls as part of ETL or data processing pipelines, leveraging MCP tools for modularity and reuse.
API Gateway: Expose multiple backend APIs through a unified MCP interface, simplifying integration for downstream consumers.
Secure API Access: Manage secrets and tokens via environment variables, keeping sensitive data out of source code and YAML files.
Get a copy of default api.yaml.
You can test default api.yaml with express test server test/server.js. Execute in other terminal.
Add MCP to your agent config file.
Example for Claude Client settings file:
Example for Visual Studio Code settings file:
Just Ask!
Each API YAML file can include global metadata with MCP information:
and a list of API endpoint definitions:
See public/apis.yaml for a complete example with metadata and all HTTP methods and parameter types.
POST
PUT
PATCH
DELETE
headers
API_TOKEN
https://github.com/molavec/mcp-api-client/issues
Fork the repository
Create your feature branch
Commit your changes
Push to the branch
Create a new Pull Request
MIT
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/molavec/mcp-yaml-api'
If you have feedback or need assistance with the MCP directory API, please join our Discord server