MCP servers that let Claude Desktop and other MCP clients interact with project management data. They support loading, querying, validating, analyzing, and benchmarking project data, including NISTA standard checks.
From the registry: AI-powered project analysis with risk identification, forecasting, and mitigation generation
$ pip install pm-mcp-serversPlease install the `pm-analyse` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install the Python package** — Install the PM MCP servers package from PyPI. Run: `pip install pm-mcp-servers`
Canonical MCP server config (stdio transport):
- command: `pm-data-server`
- args: []
Note: The README describes multiple stdio servers provided by the same package: pm-data-server, pm-validate-server, pm-analyse-server, and pm-benchmark-server. The only explicit config example shown is for pm-data-server, but the others appear to be launched similarly by using their respective command names.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Atlassian Rovo MCP Server