"MongoDB" matching MCP servers:

Enables interaction with 20+ databases (PostgreSQL, MongoDB, Neo4j, Elasticsearch, Redis, and more) through a single unified interface, allowing cross-database queries and operations via natural language.

Deploy, run and manage apps on your own self-hosted AppCrane from any MCP client. 62 tools: create an app, push code, deploy to sandbox, check health and logs, provision a managed Postgres, MariaDB, MongoDB or Redis, and promote to production after review. Your instance, your SSO, your data. Repo: https://github.com/gitayg/appcrane-mcp · npm: appcrane-mcp · Site: https://appcrane.dev

MCP server for Hydra ETL: lets AI assistants write declarative YAML ETL pipelines (CSV, Parquet, PostgreSQL, MySQL, MongoDB, APIs) and validate them before any data is read or written.

One config, one CLI that turns your databases (Postgres, MySQL, SQLite, MongoDB) into MCP servers for Claude, GPT, Cursor, and any MCP-compatible agent.

EMET is an MCP memory server: persistent shared memory for AI agents, bot teams and chats. Six memory layers, verified writes (every write is read back before it is reported saved), and a separate word-for-word transcript tier. Runs locally over stdio or remotely over HTTP with OAuth, on MongoDB. One owner; optional Guest (read-only) and Member (read and write) access, both off by default.

A universal MCP server enabling AI assistants to query and manage six database engines (Postgres, Redis, Elasticsearch, MySQL, MongoDB, LDAP) through 113+ tools with read-only safety and fault tolerance.

A toolkit of 256 MCP servers for SRE incident diagnosis with Claude. One agent per tech (Postgres, Kafka, Istio, Kubernetes, Prometheus, MongoDB, Redis, Cassandra, ...) with failure modes, key metrics, and runbooks baked in. Plus telemetry MCPs (PromQL/LogQL/Elasticsearch), SSH-via-bastion executor, and 33 discovery adapters across 9 clouds. Apache 2.0, runs locally. Reproducible 5/5 scenari

A plugin-based MCP server that enables interaction with multiple databases (MySQL, PostgreSQL, MongoDB, SQL Server, Redis) through a unified interface with configurable read/write permissions and independent plugin architecture.

MCP server with 32 tools for ETL ingestion, AI-generated data quality rules, AI transformations, vector search, and natural-language SQL. Works across Postgres, MongoDB, Kafka, S3/MinIO, HashiCorp Vault, and five vector stores (Qdrant, Weaviate, Milvus, Chroma, pgvector).

A modular MCP server that enables interaction with multiple database types including PostgreSQL, MySQL, SQLite, Redis, MongoDB, and LDAP. It provides tools for executing queries, managing SQL commands, and exploring database schemas with configurable read-only security.

A universal database adapter that enables read-only queries across PostgreSQL, Supabase, and MongoDB databases via the Model Context Protocol.