"Git LFS" matching MCP servers:

Enables AI agents to create, run, and save API requests and collections as local Gud API files, which are git-committable and viewable in VS Code-compatible editors.

A Model Context Protocol server that allows AI development tools like Cursor and Claude Desktop to retrieve detailed YAPI interface information by interface ID.

A Fastify plugin that automatically converts API routes into Model Context Protocol tools, enabling AI assistants to directly interact with your API.

Enables Claude to interact with the Canvas LMS API to manage courses, assignments, grades, and communications. It supports both remote and local deployments, allowing users to query academic data and submit assignments via natural language.

Enables AI agents to safely inspect a PortalV4 project's real structure, database schema, and Git status, while enforcing backend architecture rules, automating API documentation, and generating test templates without modifying repositories.

Enables automated semantic analysis of Git pull request diffs to detect breaking REST/GraphQL API schema changes, integrating with MCP-compatible clients for AI-driven code review.

Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.

AI-native HTTP security testing MCP server — 18 tools with raw HTTP/1.1 + HTTP/2 control