# Gread

**Canonical:** https://apis.io/providers/gread-dev/  
**Website:** https://gread.dev/  
**APIs profiled:** 0

Gread offers a free, open‑source Skill and MCP that let coding agents and AI chat applications access the source code and documentation of any public GitHub repository. It provides integration methods for agents such as OpenCode, Codex, Cursor, and Copilot, as well as a streamable HTTP MCP endpoint. The service clones repositories locally for rapid code search and includes tools for directory listing, without charging users.

## Kin Score — 2.2 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 45.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 0.0 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## MCP servers (1)

- **Gread MCP Server** — Remote MCP server at api.gread.dev.

## Security (1)

- **Gread Domain Security** — TLSv1.3

## Tags

Source Code Access, Open Source, AI Agents, MCP, Coding Tools

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/gread-dev/). Scores are computed from the provider's own public artifacts under a published rubric.