Databases & Storage

filesystem

modelcontextprotocol

Node.js server implementing Model Context Protocol (MCP) for filesystem operations. Features Read/write files Create/list/delete directories Move files/directories Search files Get file metadata Dynamic directory access control via [

memory

modelcontextprotocol

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats. Core Concepts Entities Entities are the primary nodes in the knowledge graph. Each entity has: A

Your AI models and agents can use our official MCP server to access your Linear data in a simple and secure way. Connect to our MCP server natively as a new Claude Integration, or by using the mcp-remote module in Cursor, Windsurf, and other clients

Connect your AI tools to Supabase using MCP The Model Context Protocol (MCP) is a standard for connecting Large Language Models (LLMs) to platforms like Supabase. Once connected, your AI assistants can

Setting up integration in Notion Go to https://www.notion.so/profile/integrations and create a new internal integration or select an existing one. ![Creating a Notion Integration token](docs

A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent. Features 📊 Excel Operations: Create, read, update workbooks

A Model Context Protocol server for interacting with MongoDB Databases and MongoDB Atlas. Prerequisites Node.js - At least 20.19.0 - When using v22 then at least v22.12.0 - Otherwise any version 23+ A MongoDB con

The Salesforce DX MCP Server is a specialized Model Context Protocol (MCP) implementation designed to facilitate seamless interaction between large language models (LLMs) and Salesforce orgs. This MCP server provides a robust set of tools and capabil

MCP PostgreSQL Server is a Model Context Protocol server that facilitates PostgreSQL database operations, allowing AI models to interact with PostgreSQL databases through a standardized interface. how to use MCP PostgreSQL Server? To use the serv

The Datadog MCP Server acts as a bridge between your observability data in Datadog and any AI agents that support the Model Context Protocol (MCP). Providing structured access to relevant Datadog contexts, features

A [Model Context Protocol][mcp] (MCP) server for Grafana. This provides access to your Grafana instance and the surrounding ecosystem. Quick Start Requires uv. Add the following to your

Neon MCP Server is an open-source tool that lets you interact with your Neon Postgres databases in natural language. [](https://opensource.org/licenses/MIT) The Model Conte

Postgres MCP Pro is an open source Model Context Protocol (MCP) server built to support you and your AI agents throughout the entire development process—from initial coding, through testing and deployment, and to production tuning and mainten

| You need to install Skyfire MCP Server first to work with Apify MCP server The Apify Model Context Protocol (MCP) server at mcp.apify.com enable

MCP Server providing access to 70 Brazilian public data sources covering government, economy, legislation, transparency, judiciary, elections, environment, health, education, public safety, and more. Features 533 tools across 70 features c

Official MCP server for data.gouv.fr, the French national Open Data platform. Enables AI chatbots to search, explore, and analyze datasets from France's central data repository through conversation. Features Datasets (Static Data Files) **

An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database, enabling semantic search and storage of information with embeddings.

Brings Power BI semantic modeling capabilities to AI agents through a local MCP server. Enables developers and AI applications to interact with Power BI models in new ways—from using natural language to execute modeling changes to autonomous AI agent

Alpaca MCP

alpacahq

A comprehensive Model Context Protocol (MCP) server for Alpaca's Trading API. Enable natural language trading operations through AI assistants like Claude, Cursor, and VS Code. Supports stocks, options, crypto, portfolio management, and real-time mar

The Elasticsearch MCP Server connects AI agents to Elasticsearch data using the Model Context Protocol. It enables natural language interactions with Elasticsearch indices, allowing agents to query, analyze, and retrieve data without custom APIs.

A Model Context Protocol server that provides database capabilities for Chroma, the open-source embedding database. This server enables AI models to create collections over generated data and user inputs, and retrieve that data using vector search, f

A natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Fea

Baidu Map MCP Server is a fully MCP-compliant, open-source Location-Based Service (LBS) solution, providing a comprehensive suite of geospatial APIs and tools for developers and AI agents. As the first map service provider in China to support the

The Graphlit MCP Server enables integration between MCP clients and the Graphlit service - a platform for ingesting, searching, and retrieving knowledge from diverse sources including Slack, Discord, websites, Google Drive, email, Jira, Linear, and G

A Model Context Protocol server that provides access to the full Massive.com financial data API through an LLM-friendly interface. Rather than exposing one tool per endpoi

Apache Doris MCP Server provides comprehensive database interaction capabilities for Apache Doris through the Model Context Protocol. Built with Python and FastAPI, it enables natural language to SQL conversion, query execution, metadata management,

Tableau's official MCP server provides developer primitives including tools, resources and prompts that make it easier to build AI applications integrating with Tableau. Features Data Querying: Query data from Tableau datasources (e.g., "W