MCP Connectors Guide
Understanding and using Model Context Protocol connectors.
What is MCP?
The Model Context Protocol (MCP) is an open standard created by Anthropic that lets AI models connect to external tools and data sources through a unified interface.
Instead of building custom integrations for each tool, MCP provides a standardized way for AI assistants to:
- Read and write files
- Query databases
- Call APIs
- Execute code
- Access real-time data
Using MCP Connectors
MCP connectors on Neura Market are ready-to-use server implementations:
- Download the connector from the marketplace.
- Install dependencies and configure your credentials.
- Run the MCP server locally or on your infrastructure.
- Connect your AI client (Claude Desktop, VS Code, etc.) to the server.
Each connector includes a configuration snippet for Claude Desktop's claude_desktop_config.json file.
Popular MCP Connectors
- Database connectors: PostgreSQL, MySQL, MongoDB — query your data directly from AI conversations.
- API connectors: Slack, GitHub, Jira, Linear — interact with your tools through AI.
- File system connectors: Read, search, and modify files in specified directories.
- Web connectors: Browse websites, extract content, monitor changes.
- Custom connectors: Build your own using the MCP SDK for TypeScript or Python.
Browse our Claude directory for the full catalog of MCP resources.