"Contributor Covenant" matching MCP servers:

Provides AI assistants with tools to access Kubernetes enhancement proposals (KEPs), contributor guidelines, and official documentation via the Model Context Protocol.

Enables AI assistants to search places, retrieve place details, reviews, photos, business posts, and contributor review histories from Google Maps through natural language, with no API keys or paid billing required.

Provides covenant rule enforcement, hash-chained audit logs, and integrity verification for MCP-compatible agents. It enables users to define granular permission rules and maintain a tamper-evident audit trail of all actions.

Provides AI agents with deterministic, offline finance tools for commodity margin analysis, loan covenant compliance, invoice auditing, AP exception classification, and five-day close readiness.

Consent-bound lead work for real-estate agents — provenance on every lead, a Gate on every send.

Enables AI agents to pull deterministic, traceable numbers about Adobe Stock supply, seasonality, keyword demand and the contributor's own portfolio and Adobe accept/reject outcomes. It also supports upload staging and metadata application on the portal for a verified plan, while never clicking Submit or Delete.

Integrates the eBird API with Claude to query bird observation data, including recent sightings, rare bird reports, contributor statistics, hotspot locations, and taxonomy information through natural language.

Analyzes local Git repositories to provide detailed insights into commit statistics, contributor activity, and frequently changed files. It allows users to query repository history and access structured activity data through the Model Context Protocol.

Provides GitHub repository analysis tools for Claude, including repo summaries, commit history, issue tracking, contributor stats, and code quality assessment. Enables natural language queries about code quality, contributor activity, and repository comparisons.

A lightweight MCP server that analyzes Git repository history and provides insights through AI-compatible tools. It supports hotspot detection, contributor analysis, and code churn tracking.

Enables MCP-compatible LLM clients to query GitHub repository data—commits, issues, contributor stats, and code search—as typed callable tools over stdio.