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Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
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mingzilla/pi-api-mcp-server
A Model Context Protocol (MCP) server that provides standardized tools and resources for interacting with the PI Dashboard API. This implementation enables Claude and other MCP-compatible AI assistants to securely access and manage PI Dashboard resources, including categories and charts.
docker run -i --rm -e API_URL=<value> -e PI_API_KEY=<value> mingzilla/pi-api-mcp-server{
"mcpServers": {
"pi-api": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"API_URL=http://localhost:8224/pi/api/v2",
"-e",
"PI_API_KEY=XXXXXXXX",
"mingzilla/pi-api-mcp-server"
]
}
}
}The following demonstrates typical usage scenarios for this MCP Server after setup completion.
get-filterable-attributes
Get the list of attributes that can be used for filtering by examining a sample entity
check-connection
Check if the current API URL and authentication are valid
set-api-url
Configure the base API URL for all requests
authenticate
Get guidance on authentication options
authenticate-with-credentials
Authenticate with username and password (last resort option)
keep-session-alive
Verify and refresh the current authentication token (also used for token-based authentication)
logout
Invalidate the current token and end the session
set-organization
Set the organization ID for subsequent requests
get-category
Get a category by ID
create-category
Create a new category
update-category
Update an existing category
delete-category
Delete a category
get-chart
Get a chart by ID
delete-chart
Delete a chart
export-chart
Export a chart in various formats
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

mendableai/firecrawl-mcp-server
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context.

exa-labs/exa-mcp-server
Connect AI agents to Exa for web search, content fetching, and multi-step research.

blazickjp/arxiv-mcp-server
A local MCP server for agent literature work. The differentiator is original-LaTeX section reads, BibTeX from arXiv metadata, and topic watches. Papers stay on disk.

lakehq/sail
Sail is a drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads on a distributed, multimodal compute engine.
janwilmake/openapi-mcp-server
A Model Context Protocol (MCP) server for Claude/Cursor that enables searching and exploring OpenAPI specifications through oapis.org.

haris-musa/excel-mcp-server
A Model Context Protocol server that lets AI assistants create, read and edit Excel workbooks. It needs no Microsoft Excel installation.