by guillaumegay13 · MCP Server · ★ 111
FieldFlow FieldFlow turns OpenAPI-described REST endpoints into selectively filtered tools. It generates Pydantic models and FastAPI routes that forward requests to the upstream API and return only the fields the caller asks for. An optional MCP layer exposes those generated OpenAPI tools to Model Context Protocol clients such as Claude Desktop. Features Discovers endpoints and schemas from OpenAPI 3.0 JSON or YAML files. Builds request/response Pydantic models dynamically, preserving aliases and optional fields.
| Stars | 111 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 57.5/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-20 |
| Created | 2025-09-15 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
These tools work well together with fieldflow for enhanced workflows:
Explore other popular mcp server tools:
fieldflow is an open-source mcp server by guillaumegay13 with 111 GitHub stars.
fieldflow is primarily written in Python. It covers topics such as ai, ai-agent, ai-agents.
You can find installation instructions and usage details in the fieldflow GitHub repository at github.com/guillaumegay13/fieldflow. The project has 111 stars and 11 forks, indicating an active community.
fieldflow is released under the MIT license, making it free to use and modify according to the license terms.