"How to request a remote API using an OpenAPI document" matching MCP servers:

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

Enables secure interaction with Request Tracker (RT) for ticket management, including search, creation, updates, resolution, time tracking, and workflow automation.

Enables efficient exploration of OpenAPI specs via markdown, with progressive disclosure of endpoints, schemas, and batch operations to minimize AI context usage.

Enables inspecting local OpenAPI specification files by listing and retrieving spec details with filters and $ref resolution.

MCP server for AI-driven document creation, enabling generation of PowerPoint decks with consistent design themes and auto-generated images via ComfyUI.

A local document evidence layer for MCP clients that ingests documents (PDF, Office, images) with optional OCR, indexes them in SQLite FTS, and provides retrieval tools with source coordinates.

Provides AI agents with multi-format document indexing, hybrid dense and sparse search with reranking, and relational SQL querying over extracted tables.

A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.

A multi-format MCP server that enables reading and generating Office, PDF, text, EPUB, and presentation documents. It provides unified tools for document processing and creation through AI assistants.

Mount any OpenAPI spec as an MCP server, supporting multiple APIs with authentication and resource auto-promotion.

A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.

Search and harvest Korean academic literature and book bibliography metadata from the National Library of Korea Seoji OpenAPI via MCP or CLI.

Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables AI assistants to query live football data, including fixtures, live scores, standings, statistics, betting odds, and full odds movement history for corner and card lines.

Enables AI assistants to discover and invoke KakaoCloud OpenAPI endpoints for managing cloud resources like VMs, VPCs, load balancers, and databases.

Vision-capable MCP server for controlling Amazon Fire TV through Home Assistant, providing screenshot-guided observation, remote commands, and app/URI actions via authenticated REST calls.

Private local stdio MCP server for metadata-only discovery, recording, and querying of Markdown and PDF documents.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.