"A MongoDB MCP that interacts with MongoDB servers" matching MCP servers:

Feature-rich MCP server for MongoDB with multi-connection support, enabling users to interact with multiple MongoDB clusters simultaneously, perform CRUD operations, run aggregations, diagnostics, and more, all through natural language.

Enables interaction with MongoDB databases through MCP, supporting database queries, resource reading, and multi-collection operations including aggregation pipelines and lookups.

A MongoDB MCP Server that allows AI agents and MCP clients to interact with MongoDB databases through standardized tools for CRUD operations, schema discovery, and collection management.

An autonomous MCP server that enables LLMs to intelligently query and analyze MongoDB databases by reverse-engineering schemas, proving relationships, and enforcing security safeguards like PII masking and query limits.

This read-only MCP Server allows you to connect to MongoDB data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables Claude to explore, query, and modify MongoDB databases through natural language, including CRUD operations, aggregation, indexing, and administrative tasks.

Enables an IDE agent to read and write MongoDB through typed, allowlisted tools, with safety defaults and support for CRUD, aggregation, and collection listing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables basic banking operations such as account creation, deposits, withdrawals, and transfers using MongoDB for persistent storage.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables safe, synthetic telecom event search, refinery blend validation, and legal provision lookup through MCP-style initialize, tools/list, and tools/call JSON-RPC methods.

MCP servers for real-time development monitoring and interactive pair programming.

Provides 7 MCP servers with 95 tools for git, GitHub, .NET, Ollama, Rust, template sync, and Python, enabling natural-language commands to perform real development operations.

Enables file operations (PDF, Office, images, archives, media) through natural language, with tools for reading, writing, converting, and analyzing files locally.

A model context protocol server for Deepin Linux, providing system control, file management, web search, browser automation, and Git operations.

Enables geospatial operations such as geocoding, routing, map visualization, satellite imagery, and weather data through a unified MCP interface, making Earth data accessible to non-programmers.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Two self-hosted MCP servers: manage a local model machine (Ollama pull/switch, LoRA training) and bridge to local Ollama/vLLM for pure language processing tasks (writing, summarizing, classifying, extraction) without giving the calling agent tools or file access.