# ThoughtDAG (MCP server)

> ThoughtDAG is an MCP server that searches local AI conversations by file or phrase and recall source turns. It has 567 GitHub stars, is released under the MIT license and runs locally with npx -y thoughtdag. It works with Claude Desktop, Claude Code, Cursor and VS Code.

Find the conversations that shaped a file. Indexes the agent sessions already on your machine (Claude Code, Codex, DeepSeek Harness, Pi) by the files each turn read, wrote or edited, and lists those turns: when, what changed, what was asked, what the answer said about the file. Every hit links back to the conversation.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/chenxiachan/thoughtdag |
| GitHub stars | 567 |
| License | MIT |
| Language | TypeScript |
| Transport | stdio |
| Packages | npm: thoughtdag |
| Remote URL | none |
| Needs API key | no |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | AI & search |
| Latest release | v0.5.16 (Oct 3, 2026) |
| Last commit | Oct 3, 2026 |
| MCP registry name | io.github.chenxiachan/thoughtdag |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "thoughtdag": {
      "command": "npx",
      "args": [
        "-y",
        "thoughtdag"
      ]
    }
  }
}
```

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

```sh
claude mcp add --transport stdio thoughtdag -- npx -y thoughtdag
```

### Cursor (.cursor/mcp.json)

```json
{
  "mcpServers": {
    "thoughtdag": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "thoughtdag"
      ]
    }
  }
}
```

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

```json
{
  "servers": {
    "thoughtdag": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "thoughtdag"
      ]
    }
  }
}
```

Config formats checked against the official docs on 2026-10-07.

## Similar MCP servers

- [Context7](https://appsgit.com/mcp-servers/context7): Up-to-date code docs for any prompt. (62,752 stars, MIT, needs API key)
- [FunASR](https://appsgit.com/mcp-servers/funasr): Transcribe local audio with FunASR and SenseVoice using private, on-device inference. (20,596 stars, MIT)
- [Bifrost](https://appsgit.com/mcp-servers/bifrost): Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS. (8,591 stars, Apache-2.0)
- [Honcho](https://appsgit.com/mcp-servers/honcho): Memory that reasons: continual learning for stateful agents. (7,494 stars, AGPL-3.0, needs API key)
- [Semble](https://appsgit.com/mcp-servers/semble): Fast and Accurate Code Search for Agents. (6,185 stars, MIT)
- [Exa](https://appsgit.com/mcp-servers/exa): Connect AI agents to Exa for web search, content fetching, and multi-step research. (5,088 stars, MIT, official)

---

Canonical page: https://appsgit.com/mcp-servers/thoughtdag
Source: appsgit (https://appsgit.com), the app store for github. Data from the GitHub API, refreshed nightly.
Machine access: JSON API https://appsgit.com/api/v1/apps (OpenAPI: https://appsgit.com/openapi.json), MCP server https://mcp.appsgit.com/mcp, full index https://appsgit.com/llms-full.txt.
