mattjegan/swarmia-mcp

Overview

A read-only local MCP server that provides programmatic access to Swarmia, a software analytics platform. It runs locally and uses the Model Context Protocol to expose Swarmia data to MCP-compatible clients.

Best for

Best for
Developers who want to surface Swarmia analytics in MCP-compatible tools like AI assistants or IDEs.

Use cases

• Querying Swarmia metrics from AI assistants or IDEs via MCP
• Integrating Swarmia analytics into custom automation pipelines
• Retrieving team performance data without manual dashboard navigation

How to use

Install

make install

Tools exposed

• get_pull_request_metrics
• get_dora_metrics
• get_investment_balance
• get_software_capitalization_report
• get_software_capitalization_employees
• get_effort_reporting

Example client config

{\n     "mcpServers": {\n       "swarmia": {\n         "command": "/path/to/swarmia-mcp/venv/bin/python3",\n         "args": ["/path/to/swarmia-mcp/swarmia_mcp_server.py"],\n         "env": {\n           "SWARMIA_API_TOKEN": "your_api_token_here"\n         }\n       }\n     }\n   }

Notes

A read-only local MCP server that provides programmatic access to Swarmia, a software analytics platform. It runs locally and uses the Model Context Protocol to expose Swarmia data to MCP-compatible clients.

8 stars on GitHub. Last updated 2025-09-13. Licensed MIT.

Use cases

• Querying Swarmia metrics from AI assistants or IDEs via MCP
• Integrating Swarmia analytics into custom automation pipelines
• Retrieving team performance data without manual dashboard navigation

Pros

• Read-only design prevents accidental data mutations
• Local server gives users full control over access and security
• Leverages MCP for easy integration with many clients

Cons

• Limited to read operations; cannot create or update Swarmia data
• Depends on Swarmia’s API availability and rate limits
• Low GitHub stars suggest small community and limited maintenance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.