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dots-mcp

dots-mcp

by mergisi
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

dots-mcp

An MCP server for OpenAI Dots — the always-on, proactive agents announced at DevDay 2026.

Unofficial. Not affiliated with or endorsed by OpenAI.

Status

OpenAI has not published a public Dots API yet. Until it does, dots-mcp gives any MCP client (Claude, Cursor, ChatGPT, etc.) live, searchable access to the community-curated awesome-dots list. Dots-native tools will be added here as soon as an API is available.

Related MCP server: mcp-registry-interface

Tools

Tool

Description

list_dots_resources

List resources, optionally filtered by section (Official, News, Tools…).

search_dots_resources

Keyword search across names, descriptions and sections.

The list is fetched from GitHub and cached for 10 minutes. Override the source with DOTS_LIST_URL.

Install

git clone https://github.com/mergisi/dots-mcp.git
cd dots-mcp
npm install && npm run build

Claude Code

claude mcp add dots -- node /absolute/path/to/dots-mcp/dist/index.js

Claude Desktop / Cursor

{
  "mcpServers": {
    "dots": {
      "command": "node",
      "args": ["/absolute/path/to/dots-mcp/dist/index.js"]
    }
  }
}

Roadmap

  • Search the awesome-dots resource list

  • Dots-native tools (send a task, check status, list Dots) once OpenAI ships a public API

  • npm package (npx dots-mcp)

Contributing

Issues and PRs welcome. To add a resource to the list, open a PR on awesome-dots.

License

MIT

Available Tools

2 tools
list_dots_resourcesA

List resources about OpenAI Dots from the awesome-dots list, optionally filtered by section (e.g. Official, News & Coverage, Tools & Integrations).

Inputs: section.

search_dots_resourcesB

Search the awesome-dots list for OpenAI Dots guides, news, tools and use cases by keyword.

Inputs: query (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 2 tools

    Disambiguation4/5

    list_dots_resources and search_dots_resources both retrieve from the same dataset, but the list vs. keyword-search split is a clear, conventional distinction. An agent can easily choose the right tool based on whether it wants to enumerate/filter by section or query by keyword.

    Naming Consistency5/5

    Both names use consistent snake_case with a verb_noun pattern (list_dots_resources, search_dots_resources) and share the same noun phrase. There is no deviation or mixed convention.

    Tool Count3/5

    Two tools is on the thin side for a resource-access server; while both are warranted, the surface feels minimal. A third tool (e.g., get resource details) could round it out, but the current count is not unreasonable for a narrow, read-only list.

    Completeness4/5

    The domain is a curated resource list about OpenAI Dots; listing (with optional section filter) and keyword search cover the primary retrieval needs. However, there is no explicit operation to fetch a single resource by ID or to list available sections, leaving minor gaps an agent may need to work around.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

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