"Gaode Map API documentation and integration" matching MCP servers:

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

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.

Maintains a self-updating JSON index of repository files, functions, and descriptions so agents can query relevant files instead of grepping the tree.

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.

Enables AI assistants to interact with PDF documentation files stored locally. Provides tools to list, read, search, and extract metadata from CRM API documentation PDFs through natural language queries.

A server implementation that enables LLMs to programmatically manage tasks in Todo.txt files using the Model Context Protocol (MCP), supporting operations like adding, completing, deleting, listing, searching, and filtering tasks.

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.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables agents to read, search, batch process, and watch directories of resume files via JSON-RPC MCP methods and resource discovery.

Enables MCP clients to interact with a filesystem by listing, reading, writing, and monitoring files, as well as extracting resume text and batch processing files.

Enables file system operations (read, write, list, search, watch, batch process) via MCP over JSON-RPC 2.0, used by a resume matching agent.

Provides file system access for resume matching through JSON-RPC, enabling semantic search and workflow orchestration with LangGraph.

An MCP server exposing calculator, file read, and file write tools for the Gemini CLI agent, enabling mathematical computations and file operations through natural language.

Provides filesystem access and integration with Z.ai's GLM-4 models for code generation and reasoning tasks. Designed to work as a git submodule with automatic parent repository detection.

Enables AI agents to interact with a sandboxed filesystem via MCP tools for reading, writing, searching, and monitoring files, including batch processing and resource discovery for resume management.

Enables reading, normalizing, validating, merging, and exporting data from Excel, CSV, JSON, and SQLite sources into a unified schema, with tools exposed via FastMCP.