Keypup Engineering Analytics
Connects to Keypup's engineering analytics platform and exposes six read-only tools for querying your team's development data. You can list companies, explore datasets (issues, PRs, commits, reviews, activity events), look up available fields and formula operators, run aggregated reports with metrics and filters, and generate queries from natural language prompts. Authenticates via API token with scopes for reports and companies. Useful when you want to ask questions like "average PR merge time last quarter" or "most active reviewers this month" without writing GraphQL queries yourself. The AI handles dataset selection, field lookup, query construction, and result summarization.
- GitHub stars
- 1
- tools
- 6
- auth
- Secret needed
- transport
- HTTP
- last updated
- Jun 9, 2026
Tools
6 toolsPublic tool metadata for what this MCP can expose to an agent.
list_companiesList the companies (teams) the authenticated user belongs to. Returns each company's id, name, created_at and updated_at.
List the companies (teams) the authenticated user belongs to. Returns each company's id, name, created_at and updated_at.
No parameter schema in public metadata yet.
list_datasetsList the datasets (facts) available for querying, each with its id, label and description.
List the datasets (facts) available for querying, each with its id, label and description.
No parameter schema in public metadata yet.
list_dataset_fieldsList the fields available on a given dataset for a company, with filtering by source and regex pattern, plus pagination.
List the fields available on a given dataset for a company, with filtering by source and regex pattern, plus pagination.
No parameter schema in public metadata yet.
list_formula_operatorsList the operators and functions usable in custom formulas, with filtering by scope and regex pattern, plus pagination.
List the operators and functions usable in custom formulas, with filtering by scope and regex pattern, plus pagination.
No parameter schema in public metadata yet.
query_datasetRun an aggregated report against a dataset with metrics, dimensions and filters expressed as text-based formulas, with optional sorting, limit and offset.
Run an aggregated report against a dataset with metrics, dimensions and filters expressed as text-based formulas, with optional sorting, limit and offset.
No parameter schema in public metadata yet.
generate_dataset_queryTurn a natural-language prompt into a structured query compatible with query_dataset.
Turn a natural-language prompt into a structured query compatible with query_dataset.
No parameter schema in public metadata yet.
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Keypup MCP Server
Ask your Keypup engineering data in plain language to track delivery, quality and team workload.
Keypup MCP server demo
Details
- Repository
- github.com/keypup-io/engineering-analytics-mcp-server
- Website
- www.keypup.io
- Categories
- Monitoring & Observability, Data & Analytics
- Transport
- HTTP
- Auth
- Required
- Registry
- MCP registry, active
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