# Twining MCP Server

> Use this tool when you need to coordinate AI agents and manage complex development tasks through a shared knowledge graph. It solves problems of agent coordination, decision tracking, and semantic search by providing a shared blackboard and local search over JSONL files. Ideal for use cases requiring tailored context packages and lightweight knowledge graph management.

Canonical page: https://skillsregistry.net/skills/daveangulo-twining-mcp  
JSON: https://api.skillsregistry.net/v1/skills/daveangulo-twining-mcp

## Description

Provides agent coordination for Claude Code through a shared blackboard, decision tracking with rationale, and local semantic search over git-trackable JSONL files. It enables users to assemble tailored context packages and manage a lightweight knowledge graph for complex development tasks.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-09

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ta1ynbmj68)
- **Repository:** <https://github.com/daveangulo/twining-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": "daveangulo-twining-mcp"
    }
  }
}
```

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