A collection of standalone Python scripts that implement Model Context Protocol (MCP) servers for various utility functions. Each server provides
A collection of standalone Python scripts that implement Model Context Protocol (MCP) servers for various utility functions. Each server provides specialized tools
The Model Context Protocol (MCP) is a standardized way for AI assistants to interact with external tools and services. It allows AI models to extend their capabilities by calling specialized functions provided by MCP servers. Communication happens via standard input/output (stdio) using JSON messages.
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claude mcp add userful-mcps --env MERMAID_CHART_ACCESS_TOKEN=your-value -- uvx pytest| Variable | Description | Required |
|---|---|---|
| MERMAID_CHART_ACCESS_TOKEN | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
mcp server and langgraph mcp adapeters
An AAS MCP adapter that exposes configured Asset Administration Shell APIs as Model Context Protocol tools, enabling LLM agents to interact with any AAS-compliant backend.
Real Environment Developed by Stanford University
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