# contextsynapse

> contextsynapse — contextsynapse-contextsynapse. Use this tool when you need to enhance your AI agents with shared contextual understanding, enabling them to make more informed decisions and interact more effectively. The contextsynapse engine solves problems of knowledge fragmentation and limited agent awareness by providing a unified context framework. It accepts input from various sources and outputs a unified context model, ideal for use cases where agents require shared knowledge and coordination.

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

## Description

The shared brain your agents are missing — open-source context engine for AI agents

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-25

## Source

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

## 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": "contextsynapse-contextsynapse"
    }
  }
}
```

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