# @skyphusion/common-thread-mcp

> @skyphusion/common-thread-mcp — skyphusion-labs-common-thread-mcp. Use this tool when you need to manage investigations and drive the investigation API, enabling agents to create, manage, and ingest data for attribution and evidence packet generation. It solves problems related to investigation management, data ingestion, and evidence generation, providing a comprehensive interface for investigation lifecycle management. Ideal for use cases requiring automated investigation workflows and data-driven attribution.

Canonical page: https://skillsregistry.net/skills/skyphusion-labs-common-thread-mcp  
JSON: https://api.skillsregistry.net/v1/skills/skyphusion-labs-common-thread-mcp

## Description

MCP server for Common Thread that enables agents to drive the full investigation API, including creating investigations, managing seeds, ingesting data, attribution, and generating evidence packets.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r461upavml)
- **Repository:** <https://github.com/skyphusion-labs/common-thread-mcp>

## 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": "skyphusion-labs-common-thread-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skyphusion-labs-common-thread-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skyphusion-labs-common-thread-mcp/pull`

---
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