A Model Context Protocol (MCP) server implementation using fastmcp
A Model Context Protocol (MCP) server implementation using fastmcp
ShotGrid MCP Server enables AI assistants like Claude, Cursor, and VS Code Copilot to interact directly with your ShotGrid (Flow Production Tracking) data. Built on FastMCP, it provides a high-performance bridge between AI tools and production tracking workflows.
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claude mcp add shotgrid --env SHOTGRID_URL=your-value --env SHOTGRID_SCRIPT_NAME=your-value --env SHOTGRID_SCRIPT_KEY=your-value -- uvx shotgrid-mcp-server| Variable | Description | Required |
|---|---|---|
| SHOTGRID_URL | Endpoint or connection string the server talks to. | Yes |
| SHOTGRID_SCRIPT_NAME | Configuration value read at startup. | Optional |
| SHOTGRID_SCRIPT_KEY | Credential the server authenticates with. | Yes |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
Connect the Notion MCP server to search workspace content and work with pages and databases through Notion’s hosted OAuth service.
A Spring AI Model Context Protocol (MCP) server implementation that provides AI-powered tools for interacting with Jira. This project enables AI models to perform various Jira operations through a…
Hosted version is available at: https://my-mcp-server.timecamp-s-a.workers.dev
Castor for Confluence Data Center — MCP server bridging Confluence DC with AI agents
The server implements a simple note storage system with: - Custom note:// URI scheme for accessing individual notes - Each note resource has a name