# ContextHub

> ContextHub — bryceewatson-contexthub. Use this tool when you need to coordinate AI agents across software development lifecycles, ensuring deterministic and efficient management of complex workflows. ContextHub solves problems of agent synchronization and data consistency, providing a robust interface for git integration, SQLite graph traversal, and validation. It is ideal for use cases requiring low-latency and reliable coordination of AI agents, with inputs including git data and outputs featuring validated and patched data.

Canonical page: https://skillsregistry.net/skills/bryceewatson-contexthub  
JSON: https://api.skillsregistry.net/v1/skills/bryceewatson-contexthub

## Description

Deterministic MCP server for coordinating AI agents across software development lifecycles. SQLite graph traversal, Zod validation gates, RFC 6902 patching, and 100+ tests with <200ms p95 latency.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/BryceEWatson/ContextHub)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bryceewatson-contexthub"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bryceewatson-contexthub` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bryceewatson-contexthub/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt