"Reading Microsoft OneDrive files" matching MCP servers:

Lokka ia an MCP server for the Microsoft Graph API and can be used to query and update all resources in your Microsoft 365 tenant. This MCP server supports all Microsoft Graph APIs including update operations (limited by the permissions you grant to the app).

MCP server that validates dashboardbase setup files and widget endpoint responses against the dashboardbase JSON contract, reporting errors and warnings before deployment.

Validates OpenAPI specs from files, inline content, or URLs, and generates prompts for agent developers based on the API analysis.

MCP server for reading, writing, and organizing API documentation in Apidog.

Provides Plaid developers with sandbox integration tools for creating test items, reading financial data, simulating webhooks and login failures, plus docs-quality tools for API search and OpenAPI-vs-Postman-vs-docs drift checking.

An MCP server for parsing and analyzing HAR files, enabling AI assistants to inspect network traffic with automatic redaction of sensitive authentication headers.

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.

MCP server for API test case generation from Swagger/OpenAPI specs. Parses Swagger 2.0 and OpenAPI 3.x, generates test cases across 8 categories (positive, negative, boundary, auth, security, idempotency, pagination, business logic), and exports to Postman, TestRail, Allure, k6, pytest, Gherkin, and CSV. Supports internal corporate APIs with auth headers. Auto-saves export files to your working di

Generates comprehensive API test plans (positive, negative, and boundary/edge cases) from endpoint metadata using LLMs, and exports them as Excel files.

Discovers, inspects, and executes requests against OpenAPI or Swagger APIs directly from documentation URLs or specification files. It enables users to trace parameter usage across an API and perform authenticated HTTP requests through a structured toolset.

Enables searching and reading published Hoppscotch API documentation, inspecting endpoint details, and retrieving saved response examples through MCP tools.

Enables reading and parsing Swagger/OpenAPI specifications to list API endpoints, get detailed endpoint info, search APIs, and generate TypeScript types for request/response.

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.

Automatically converts Swagger 2.0 API specifications into MCP tools, enabling AI assistants to directly call REST APIs. Supports both local Swagger files and remote URLs with comprehensive parameter validation and error handling.

A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

Generates API documentation in Confluence from Swagger/OpenAPI specs or NestJS controller files, including automatic Postman collection generation.

An MCP server providing complete access to the RequestRepo toolset for managing HTTP requests, DNS configurations, files, and pings. It enables users to capture, inspect, and share web requests and DNS records directly through AI clients.

Exposes SOAP-based web services as MCP servers by parsing WSDL files. Enables AI assistants to interact with legacy SOAP/WS-\* web services through the Model Context Protocol.

Dynamically creates an MCP server from ServiceStack API metadata configuration files, exposing typed REST APIs as MCP tools with support for filtering by tags or specific operations.

An MCP server that automatically converts OpenAPI specifications into MCP tools by scanning a folder for spec files, requiring no configuration files or separate servers.