GitHub
ACode hosting platform for version control and collaboration. Repos, issues, PRs, Actions, and more.
Scores
| Criterion | Weight | Score | Value |
|---|---|---|---|
Token Efficiency GitHub's GraphQL API enables efficient field selection and reduces over-fetching compared to REST, though pagination requires explicit cursor management and some endpoints still return large nested objects. | 20% | 7.0 | |
Programmatic Access GitHub provides multiple access methods including REST API, GraphQL API, official SDKs for Node and Python, CLI, and comprehensive webhook support; the presence of llms.txt signals intentional AI agent support. | 18% | 9.0 | |
Autonomous Auth GitHub supports fine-grained personal access tokens with granular scope control, OAuth apps, GitHub Apps with JWT tokens, and machine-to-machine authentication without human intervention. | 16% | 9.0 | |
Speed & Throughput GitHub offers generous rate limits (60 req/hour unauthenticated, 5000 authenticated), conditional requests via ETags, and supports concurrent operations; lack of response time data prevents a perfect score. | 12% | 8.0 | |
Discoverability GitHub has excellent REST API documentation, predictable URL patterns, meaningful error messages, and an llms.txt file guiding AI agents; OpenAPI spec is not explicitly found but the API surface is highly documented. | 12% | 8.0 | |
Reliability GitHub uses API versioning, maintains consistent response schemas, provides idempotency keys for mutations, and publishes a public status page; long operational track record demonstrates high reliability. | 10% | 8.0 | |
Safety GitHub provides scoped tokens limiting permissions, supports dry-run patterns through conditional updates, and offers branch protection rules for safe changes; some destructive operations (deletions) lack explicit undo mechanisms. | 8% | 7.0 | |
Reactivity GitHub provides webhooks for real-time event notifications and supports polling with efficient ETags; lack of SSE or streaming endpoints limits reactive capability for large datasets. | 4% | 7.0 |
Biggest friction
Absence of an MCP server adapter prevents seamless integration with Claude and other AI agent frameworks that standardize tool use.
How to improve
- 7/10Token Efficiency · Add field selection parameters, reduce default response sizes, support batch operations
- 7/10Safety · Add sandbox/test mode, support dry-run operations, enable scoped access tokens
- 7/10Reactivity · Add webhook support, consider streaming endpoints, improve polling efficiency
Agent resources
Access methods
Authentication
| Methods | unknown |
| Scoped permissions | No |
| Human required | Yes |
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