Dossier — Google Gemini Deep Research as an MCP server. Durable background runs, spend control, context-safe report reading, citation verification
Dossier — Google Gemini Deep Research as an MCP server. Durable background runs, spend control, context-safe report reading, citation verification, and private-corpus grounding. Exposed over MCP by the dossier mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Not a web search. A method it can't skip, citations you can check, and no API key required to start.
Everything the assistant can do here goes through one of these:
Mid — run progress is not available on Gemini.** Its API buffers it; a 7.1-minute run reported nothing until it finished. The plumbing is in place if thatPrivate — corpus grounding is Gemini only.** OpenAI vector stores and xAI collections are real features and aren't wired up here yet, so both declare no corpusPicks — technical archetype, max tierReads — Project docs, GitHub issues, benchmark posts, release notesThen — Call it again with the run handle and it checks the returned table against what you asked forWindows — 24h, 7d, 30d, 90d, 1y, 5y, all. Defaults to 30 days here and a year everywhere elseCosts — A full run on each backend. Worth it when a number is load-bearingStart — One search task per source class, each with the query dialect that index expectsDraft — The registry freezes. No source can be added after that, including by youSubmit — Every cited URL is checked against the frozen registry, and the draft is refused if it cites anything you never gatheredxAI — model's choice, cappedBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 4 environment variables: GEMINI_API_KEY, PERPLEXITY_API_KEY, OPENAI_API_KEY, XAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Dossier's toolset — Mid, Private, Picks and 8 more — is a fair guide to whether it matches your workflow. It is maintained by lukerhodes; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Mid | run progress is not available on Gemini.** Its API buffers it; a 7.1-minute run reported nothing until it finished. The plumbing is in place if that changes ([#1](https://github.com/fledgeling-co/dossier-research-mcp/iss |
| Private | corpus grounding is Gemini only.** OpenAI vector stores and xAI collections are real features and aren't wired up here yet, so both declare no corpus support rather than routing your documents to a backend that ignores t |
| Picks | technical archetype, max tier |
| Reads | Project docs, GitHub issues, benchmark posts, release notes |
| Then | Call it again with the run handle and it checks the returned table against what you asked for |
| Windows | 24h, 7d, 30d, 90d, 1y, 5y, all. Defaults to 30 days here and a year everywhere else |
| Costs | A full run on **each** backend. Worth it when a number is load-bearing |
| Start | One search task per source class, each with the query dialect that index expects |
| Draft | The registry **freezes**. No source can be added after that, including by you |
| Submit | Every cited URL is checked against the frozen registry, and the draft is **refused** if it cites anything you never gathered |
| xAI | model's choice, capped |
{
"mcpServers": {
"research-1": {
"command": "npx",
"args": ["-y", "dossier-research-mcp"],
"env": {
"GEMINI_API_KEY": "your-value",
"PERPLEXITY_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"XAI_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
| PERPLEXITY_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| XAI_API_KEY | Credential the server authenticates with. | Yes |
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.