Connect models to the real world
Servers and tools from the community that connect models to files, APIs, databases, and more.
All MCP servers
38
Convert various file formats (PDF, Word, Excel, images, audio) to Markdown.
Get up-to-date, version-specific documentation and code examples from any library or framework.
Official GitHub MCP Server that connects AI tools directly to GitHub's platform. Enables AI agents to read repositories, manage issues and PRs, analyze code, and automate workflows through natural language interactions.
Automate web browsers using accessibility trees for testing and data extraction.
Semantic code retrieval & editing tools for coding agents.
Extract web data with Firecrawl
Official MCP server for Notion API
Control the Unity Editor from MCP clients via a Unity bridge + local Python server.
The Azure MCP Server, bringing the power of Azure to your agents.
Interact with Stripe API
Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by Terraform
Interact with Azure DevOps services like repositories, work items, builds, releases, test plans, and code search.
MCP server helping models understand your Vite/Nuxt app.
A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.
MCP server for connecting to Elasticsearch data and indices. Supports search queries, mappings, ES|QL, and shard information through natural language interactions.
MCP server for interacting with Neon Management API and databases
Provides data retrieval capabilities powered by Chroma, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, metadata filtering, and more.
Retrieve and analyze application errors and performance issues from Sentry projects.
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
An experimental MCP server implementation for Azure AI Foundry that exposes unified tools for models, knowledge, evaluation and deployment.
Local image processing with computer vision capabilities including object detection, OCR, image editing, and transformations.
Manage and interact with the Dynatrace Platform for real-time observability and monitoring.
Provides access to OpenTelemetry traces and metrics through Logfire.
Interact with Azure Kubernetes Service (AKS) from MCP clients.
Access Hugging Face models, datasets, Spaces, papers, collections via MCP.
Enable AI agents to interact with Webflow APIs.
Query Eventhouse/ADX with KQL and manage Eventstreams.
Securely connect AI agents to your enterprise content in Box
MCP Server for the Codacy API, enabling access to repositories, files, quality, coverage, security and more.
Fetch Clarity analytics via MCP clients.
Devin-generated docs for any public repo
Postman's MCP server connects AI agents, assistants, and chatbots directly to your APIs on Postman. Use natural language to prompt AI to automate work across your Postman collections, environments, workspaces, and more.
Official LaunchDarkly MCP Server for feature flag management and experimentation. Enables AI agents to interact with LaunchDarkly APIs for managing feature flags, AI configs, targeting rules, and gradual rollouts across multiple environments.
Remote MCP Server that securely connects Jira and Confluence with your LLM, IDE, or agent platform of choice.
Expose design context to MCP clients.
JFrog MCP Server: providing your agents with direct access to JFrog Platform services.
This server enables natural language interactions for developer-focused operations like managing Dev Boxes, configurations, and pools.
Zapier MCP is a remote MCP server that gives your AI direct access to 8,000+ apps and 30,000+ actions—no complex API integrations required.