Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@research_with_sources Research these sources and provide cited findings in English."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Independent English/Spanish TypeScript provider that turns caller-supplied source metadata and excerpts into deterministic, traceable research fixtures. It exposes an HTTP API and an MCP-shaped stdio tool.
Proveedor TypeScript independiente en inglés/español que convierte metadatos y extractos proporcionados por el cliente en resultados de investigación deterministas y trazables. Expone una API HTTP y una herramienta MCP por stdio.
This service does not fetch source URLs or perform live fact-checking. It never contacts Stellar Bazaar. The public deployment is a standalone demonstration endpoint.
Live deployment: https://research-scout-provider.vercel.app
After deployment, the following routes are available:
Method | Route | Purpose |
|
| Provider metadata and route discovery |
|
| Health and operating-mode status |
|
| Produce cited findings from supplied sources |
Example request:
curl -X POST "$PROVIDER_URL/v1/research" \
-H "content-type: application/json" \
-d '{
"query": "What is Stellar used for?",
"locale": "en",
"maxSources": 5,
"sources": [{
"title": "Example source",
"url": "https://example.com/article",
"excerpt": "Caller-provided evidence.",
"publisher": "Example",
"publishedAt": "2026-01-01T00:00:00Z"
}]
}'The response contains summary, individually cited findings, normalized citations, explicit limitations, and mode: "local_fixture". Select Spanish with "locale": "es".
La respuesta incluye summary, findings con citas individuales, citations normalizadas, limitations explícitas y mode: "local_fixture". Usa "locale": "es" para español.
Related MCP server: surveyHelper
Query: 2–500 characters.
Sources: 1–25 entries; only HTTP(S) URLs are accepted.
Source title: up to 300 characters; excerpt: up to 2,000 characters.
maxSources: 1–10, default 5.
Local Node server request body: maximum 64 KiB.
No credentials, wallet data, payment data, or secrets should be submitted.
Requires Node.js 20 or newer.
npm ci
npm run check
npm startThe local HTTP server listens on http://127.0.0.1:8787. To run MCP over stdio after building:
npm run build
npm run start:mcpThe MCP tool is named research_with_sources. Its input and output contract matches the HTTP endpoint.
This repository includes vercel.json and three serverless entry points under api/. Deploy it as a separate Vercel project:
npx vercel
npx vercel --prodNo environment variables are required. Vercel rewrites /, /health, and /v1/research to their corresponding serverless functions.
No outbound network requests or browser automation.
No persistence, authentication, payments, wallets, or credential handling.
Stable source IDs are derived from source URLs with SHA-256 when omitted.
Output synthesizes only caller-supplied text and is not independent verification.
No integration with or publication to Stellar Bazaar.
See service-card.json for machine-readable discovery.
Apache License 2.0. See LICENSE.
This server cannot be deployed
Read-only MCP over an agentic SLR workspace with per-claim citation verification
Read-only MCP over an agentic SLR workspace with per-claim citation verification
Auditable MCP server for PubMed, Europe PMC, ClinicalTrials.gov, and bioRxiv/medRxiv queries
Free OpenAI-compatible inference with signed provenance receipts and 3 focused MCP tools.
