dokpod
An AI knowledge vault that indexes UI screenshots, specs, and videos via MCP to stop token burn in Cursor and Claude
What it can do
- List User Documents: List all documents in the user's Dokpod vault. Returns titles, tags, chunk counts, and status.
- Semantic Search: Search the user's document vault semantically. Returns only the most relevant chunks (minimal tokens).
- Find Documents By Name: Find vault files by exact or partial filename. Use when the user mentions a specific file name, PDF title, or screenshot name.
What data it sees
Do you need an account
An API key from the service settings is required
An AI knowledge vault that indexes UI screenshots, specs, and videos via MCP to stop token burn in Cursor and Claude
How to connect
How to connect dokpod to Claude
The server address to paste into Claude settings:
https://dokpod--support-1aaw.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect dokpod to ChatGPT
The server address to paste into ChatGPT settings:
https://dokpod--support-1aaw.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect dokpod to Cursor
The server address to paste into Cursor settings:
https://dokpod--support-1aaw.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (10)
Raw names from tools/list. Only developers need these.
| list_user_documents | List all documents in the user's Dokpod vault. Returns titles, tags, chunk counts, and status. |
| semantic_search | Search the user's document vault semantically. Returns only the most relevant chunks (minimal tokens). |
| find_documents_by_name | Find vault files by exact or partial filename. Use when the user mentions a specific file name, PDF title, or screenshot name. |
| get_chunk | Retrieve a specific chunk by document_id and chunk_id. |
| summarize_document | Get the summary and metadata for a document without loading all chunks. |
| compare_documents | Compare two documents using summaries and key chunk excerpts. |
| list_media | List images and videos in the user's vault with summaries and metadata. |
| semantic_search_media | Search images and videos semantically. Returns captions, frame descriptions, or transcript segments — minimal tokens. |
| get_media_description | Get full AI-generated description for an image or video (captions, frames, transcript). |
| get_relevant_frames | For a video, return only the frame descriptions most relevant to a query (low token usage). |