Search, project lookup, recommendation, comparison, graph, quality, and schemas.
Integrations
Git.Top exposes the same project knowledge through REST, MCP, and GRP. Use it when an agent needs to choose open-source AI projects by deployment fit, alternatives, quality signals, data confidence, and graph context.
Search, project lookup, recommendation, comparison, graph, quality, and schemas.
Five-tool first-use profile for project search and selection.
Goal-level graph reasoning for plans, project sets, comparisons, and stacks.
D1 source, sync freshness, quality, and corpus coverage checks.
REST
curl "https://git.top/api/search?q=cloudflare%20agent&limit=5" curl "https://git.top/api/project/cloudflare/agents" curl "https://git.top/api/compare?repos=cloudflare/agents,langchain-ai/langchain&deployment=cloudflare"
Best for product UIs, API clients, dashboards, and workflows that want typed HTTP responses.
MCP
curl -X POST https://git.top/mcp \
-H "content-type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'
Best for clients that already speak Model Context Protocol and want tool schemas before calling.
GRP
curl -X POST https://git.top/api/grp/query \
-H "content-type: application/json" \
-d '{"goal":"build a Cloudflare-ready coding agent stack","mode":"plan","constraints":{"deploy":["cloudflare"]}}'
Best for higher-level planning where relationships, roles, alternatives, and deployment fit matter together.
Production Checklist
/status or /api/health and prefer metadata.source=d1.classification and quality_signal_confidence before presenting quality scores as authoritative./coverage when the user's task depends on broad category representation.require_d1=true on REST knowledge endpoints when seed fallback is not acceptable.Boundaries