"Automatically Generating API Parameter Calls Using MCP" matching MCP servers:

A comprehensive MCP server with RESTful API that enables file operations, command execution, project management, and AI integration for remote development control with security features and real-time communication.

MCP server for the Stashcat messenger API. Enables AI assistants to read and send messages, manage channels, conversations, files, polls, and more.

MCP server that provides file operations and Moonshot API-powered tools (reasoning, code review, testing, research, web search, agent) for Kimi K2.5, requiring only a Moonshot API key.

Enables AI clients to read, write, search, and manage files in an Obsidian vault via MCP over SSE, running standalone without the Obsidian desktop app.

Enables conversion between PDF/Office documents and structured JSON, supporting extraction and generation of document content.

A bridge server that allows LLM tools to interact with an Obsidian vault through a local REST API, enabling file operations, note management, and metadata access through natural language.

Provides a secure MCP tool to append confirmed parking reservations to durable storage with validation, audit logging, and concurrency safety.

Enables administrators to securely record approved parking reservations to a durable text file with validation, concurrency safety, and audit logging.

This server enables multi-agent conversations that interact with the Google Drive API, allowing agents to perform file operations, manage permissions, and handle Google Drive content through a standardized protocol.

A server that allows LLMs to run Claude Code with all permissions bypassed automatically, enabling code execution and file editing without permission interruptions.

A Model Context Protocol server providing tools for DB queries, API calls, file I/O, and text transformations, enabling AI agents like Claude to perform real-world actions.

Enables AI agents to inspect PDFs, merge or extract pages, and clean text entirely offline through the Model Context Protocol, with no uploads, API keys, or network calls.

MCP server that combines Read+Edit file operations into single tool calls. 80-95% fewer tool calls formulti-file refactoring across Claude, Cursor, Windsurf, and more.

A local stdio MCP server for generating images using Google's Gemini image models, saving to disk as JPEG.

Enables AI agents and users to upload and download files via MCP, generating shareable links and identifier codes. Files are automatically deleted after 24 hours.

Converts PDF files from local storage or URLs to structured Markdown format using Mistral AI's OCR API, preserving document structure and extracting images.

An MCP server that enables users to save, search, and manage AI conversation records as organized Markdown files across various IDEs. It automatically categorizes sessions by IDE name, date, and description for efficient storage and easy retrieval.

A smart, checkpoint‑based undo system for Claude Code. Automatically snapshots file states before modifications, deduplicates unchanged checkpoints, and enables lightning‑fast restoration so you can experiment confidently with AI‑driven edits.

Enables atomic batch find-and-replace edits across single or multiple files, reducing tool calls and token usage for efficient code refactoring.

A universal MCP server that enables AI assistants to safely manage changelog files by writing structured records to a JSONL store and deterministically generating markdown changelogs.