MCP server
referencesource.org
io.github.joelp22-maker/referencesource
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Verified reference data; each record carries its source URL and quote. verify_quote checks claims.
Working at last checkAbout 1,827 tokens per request once connected8 tools
https://referencesource.org/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 8
- Token cost
- About 1,827 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http referencesource https://referencesource.org/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.referencesource] url = "https://referencesource.org/mcp"
Gemini CLI
{"mcpServers":{"referencesource":{"httpUrl":"https://referencesource.org/mcp"}}}
Cursor
{"mcpServers":{"referencesource":{"url":"https://referencesource.org/mcp"}}}
VS Code
{"servers":{"referencesource":{"type":"http","url":"https://referencesource.org/mcp"}}}
Antigravity
agy mcp add referencesource https://referencesource.org/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"referencesource","server_url":"https://referencesource.org/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"referencesource","server_url":"https://referencesource.org/mcp"}
Tools
brief_for_joe~133 tokens
For the referencesource Muse connector only (bearer token required). The studio's latest plain-English daily brief: what was decided, what landed, and the items waiting on Joe, each as the task, why it matters and the steps. Read-only; regenerated each morning by tools/brief.py and published with thget_record~163 tokens
Fetch one record by id — for example, look up a FIPS 140 certificate's status, a state's boiler inspection rules, or a county's loan limit. Returns the full record with its source URL and verbatim source quote. Record ids appear in search_records results and in each record's url.list_datasets~305 tokens
What reference datasets are available? Lists every published dataset with its title, record count, last-verified date and a one-sentence summary. Covers regulatory thresholds, version compatibility, certification registers, licensing rules and more. Pass `query` to list only the datasets matching amessage_supervisor~282 tokens
For the referencesource Muse connector only (bearer token required). Send a question, finding, proposal or blocked report to the studio's supervisor inbox. Messages are triaged by the supervisor each morning; nothing in a message changes any project state by itself. Use a fresh message_id per messagnext_task_for_muse~157 tokens
For the referencesource Muse connector only (bearer token required). Returns the oldest open task from the studio's queue: id, instructions, the sites the task may read, the output format expected, and where to deliver the result. Returns {no_tasks: true} when the queue is empty. login_allowed listssearch_records~197 tokens
Look up a specific record — search by state name, chemical, certificate number, product name or any keyword. Searches one dataset's records (case-insensitive substring match across all fields). Returns up to 20 matching records, each with its url, source and verbatim source_quote so the answer can bsubmit_task_result~238 tokens
For the referencesource Muse connector only (bearer token required). Records the result of a task fetched with next_task_for_muse. `result` must be a JSON object matching the task's output_format and at most 3500 characters when serialised; put anything longer in the file named by deliver_to and subverify_quote~352 tokens
Is this value actually right? Check a claimed fact against a published record instead of trusting it. Reports whether the claim matches the record's stored value (exact, case-insensitive or normalised — the match type is named), whether it appears in the record's verbatim source quote, and returns t
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