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Databases

Secure database access with schema inspection capabilities. Enables querying and analyzing data with configurable security controls including read-only access.

MCP ServersBrowse all →

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    Connect any AI to PostgreSQL, MySQL, or SQL Server — 24 dialect-aware tools for query, schema, optimization, and more.
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    MIT
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    Build and run a complete backend from your agent: relational data with row-/field-level security, full-text + semantic + geo search, RBAC and BYOK, a workflow/automation engine, a growth & retention engine (email, push, promotions, per-user referral codes, rewards and points), payments and marketplace billing, and a growing catalog of integrations – the whole Anythink platform as one CLI-backed MC
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    MIT
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    MCP server for US government transparency data (congressional trades, federal contracts, campaign finance, lobbying, regulations) with per-call paid access via x402 USDC.
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    MIT
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    Celp-MCP enables natural-language analytics over SQL, MongoDB, and Databricks warehouses through MCP-compatible clients, converting questions into multi-step database plans and returning markdown reports.
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    MIT
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    A server that provides management and connectivity for Alibaba Cloud RDS database services via OpenAPI, enabling users to create, query, and modify RDS instances through MCP integration.
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    Apache 2.0
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    A server that enables running SQL queries against IoTDB databases, providing data reading capabilities and schema information through a Model Context Protocol interface.
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    Apache 2.0
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    Search the hpt.su registry of Russian/EAEU vehicle compliance documents — type approvals, conformity certificates, declarations and type-approval notifications.
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    MIT
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    Backend service implementing the Model Control Panel protocol that connects to Apache Doris databases, allowing users to execute SQL queries, manage metadata, and potentially leverage LLMs for tasks like natural language to SQL conversion.
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    Apache 2.0
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    An MCP server for OpenServerless that exposes action tools for creating, invoking, and managing API endpoints with integrated services like S3, PostgreSQL, Redis, and Milvus.
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    Apache 2.0
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    Enables safe, AI-driven database interactions with schema discovery, intent validation, and session memory, supporting multiple databases.
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    AGPL 3.0
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    Interact with CodeLogic, a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
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    Mozilla Public 2.0
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    MCP server for local fitness-data extraction and analysis from Garmin Connect, Intervals.icu, and Strava. Provides read-only analytical tools over DuckDB and targeted Strava enrichment.
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    AGPL 3.0
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    Connects MCP clients to Frappe/ERPNext sites via REST API, enabling document CRUD, search, and remote method calls.
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    MIT
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    Developers are constantly feeding context files to AI tools like Cursor, Windsurf, Copilot Workspace, and Claude Code. If your agent doesn't understand your real database schema, it writes code that fails in production. LintBase acts as the bridge. It connects directly to your database, reads the ground truth of your live documents, and generates structured context optimized for AI. 🤖 Stops AI
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    MIT
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    Enables AI agents to interact with Milvus vector databases and Zilliz Cloud through natural language, allowing users to create clusters, manage collections, insert vector data, and perform semantic searches directly from their AI assistants.
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    Apache 2.0
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    Provides access to Ambivo API endpoints for natural language querying of entity data through a Model Context Protocol server with JWT authentication.
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    MIT
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    A universal interface that enables AI Agents to seamlessly communicate with Adb MySQL databases, allowing them to retrieve database metadata and execute SQL operations.
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    Apache 2.0
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    A composite MCP gateway that aggregates multiple MCP servers into one endpoint for SDET/QE workflows, with curated tool namespacing, central safety guardrails, and composite tools like API-vs-DB verification.
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    MIT
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    Read-only PostgreSQL performance auditing via MCP. Collects metrics from PostgreSQL system views, applies deterministic checks for index, query, vacuum, configuration, and connection issues, and returns structured findings for MCP clients.
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    MIT
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    A Model Context Protocol server that enables coding agents to explore and query TimeBase, including listing streams, reading schemas and symbols, previewing messages, running QQL queries, and inspecting server status.
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    Apache 2.0
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    Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.
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    MIT
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    The official Model Context Protocol (MCP) server for SeaTable, built and maintained by SeaTable GmbH. It lets AI agents interact with data in your bases — reading, writing, searching, linking, and querying rows through a focused set of tools. The server intentionally focuses on data operations, not schema management (creating/deleting tables or columns), keeping the tool set lean and safe for auto
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    MIT
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    Usense Data API now supports the MCP protocol, enabling easy enterprise data access via LLMs through the MCP-compatible usensedata-mcp-server-query-china-company.
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    MIT
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    MCP server for VetSorcery — query problem lists, SOAP notes, and patient summaries from Claude Desktop, Cursor, Windsurf, or any MCP-compatible agent.
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    MIT
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    Connect AI assistants to Manticore Search. Execute SQL queries, list tables, get schemas, and fetch documentation. Perfect for building RAG applications and search-powered AI agents.
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    Apache 2.0
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    A Model Context Protocol server that enables LLMs to retrieve and analyze OpenTelemetry traces and metrics from Logfire, supporting exception tracking and custom SQL queries against telemetry data.
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    MIT

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