Data & Databases MCP Servers
Database access, data processing
3,537 servers
MySQL (security-first)
Security-first MySQL MCP server with AST validation, table whitelist, schema resources, and audit.
TeamMemory
Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.
m-gate
MongoDB powered MCP Gateway. A multi-tenant MCP (Model Context Protocol) gateway with auth, RBAC, guardrails, a WASM code sandbox, queryable encryption, and observability.
longevity-genie/synergy-age-mcp
- MCP server for the SynergyAge database of synergistic and antagonistic genetic interactions in longevity.
wklee610/kafka-mcp
[](https://glama.ai/mcp/servers/wklee610/kafka-mcp) - MCP server for Apache Kafka that allows LLM agents to inspect topics, consumer groups, and safely manage offsets (reset, rewind).
io.github.bluwork/mongo-scout-mcp
Scout your MongoDB databases with AI - safety features, live monitoring, and data quality
ChrisGVE/workspace-qdrant-mcp
[](https://glama.ai/mcp/servers/ChrisGVE/workspace-qdrant-mcp) - Project-scoped semantic workspace memory for AI coding assistants. Watches your project files, auto-indexes code and docs into Qdrant with tree-sitter semantic chunking, LSP integration, and hybrid search (dense + sparse + RRF). 6 MCP tools: store, search, retrieve, grep, list, rules. **Alpha** — testers and feedback welcome.
openlink/mcp-server-odbc
- An MCP server for generic Database Management System (DBMS) Connectivity via the Open Database Connectivity (ODBC) protocol
tradercjz/dolphindb-mcp-server
- TDolphinDB database integration with schema inspection and query capabilities
longevity-genie/opengenes-mcp
- MCP server for a queryable database for aging and longevity research from the OpenGenes project.
schemacrawler/SchemaCrawler-MCP-Server-Usage
– Connect to any relational database, and be able to get valid SQL, and ask questions like what does a certain column prefix mean.
openlink/mcp-server-sqlalchemy
- An MCP server for generic Database Management System (DBMS) Connectivity via SQLAlchemy using Python ODBC (pyodbc)
joshuarileydev/supabase-mcp-server
Supabase MCP Server for managing and creating projects and organisations in Supabase
kehvinbehvin/json-mcp-filter
– Stop bloating your LLM context. Query & Extract only what you need from your JSON files.
planetscale/mcp
The PlanetScale CLI includes an MCP server that provides AI tools direct access to your PlanetScale databases.
openlink/mcp-server-jdbc
- An MCP server for generic Database Management System (DBMS) Connectivity via the Java Database Connectivity (JDBC) protocol
cloudbet/sports-mcp-server
– Access structured sports data via the Cloudbet API. Query upcoming events, live odds, stake limits, and market info across soccer, basketball, tennis, esports, and more.
corebasehq/coremcp
[](https://glama.ai/mcp/servers/CoreBaseHQ/coremcp) - A secure, tunnel-native database bridge for AI agents. Connects localhost & on-premise databases (MSSQL, etc.) to LLMs with AST-based query safety and PII masking.
Janadasroor/pg-mnemosyne-mcp
[](https://glama.ai/mcp/servers/Janadasroor/pg-mnemosyne-mcp) - A PostgreSQL Model Context Protocol (MCP) server acting as a robust persistent super memory, task tracker, and multi-agent coordination hub for AI assistants.
aegis-dq/aegis-dq
[](https://glama.ai/mcp/servers/aegis-dq/aegis-dq) - Agentic data quality framework that runs structured rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Every LLM decision is audit-logged with cost and latency.
io.github.rog0x/database
SQL formatting, schema visualization, migration generation
Qdrant RBAC
Role-based access to your Qdrant vector store, via MCP. OIDC in, scoped JWTs out.
QuentinCody/catalysishub-mcp-server
- Unofficial MCP server for searching and retrieving scientific data from the Catalysis Hub database, providing access to computational catalysis research and surface reaction data.
prisma/mcp
- Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new databases and run migrations or queries).