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io.github.Shreyas-Profile/docs-mcp

Registre officiel Données et bases de données

Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.

Code source Documentation

Que pouvez-vous faire avec io.github.Shreyas-Profile/docs-mcp ?

  • Ingest — accepts .pdf, .docx, .xlsx, .pptx, .doc, .xls, .ppt up to 50 MB.
  • Extract — renders every page as an image, runs Google Gemini 2.5 Flash Lite (via OpenRouter) over each page. Text, tables, and figure descriptions come out verbatim.
  • Store — chunks (~500 tokens, 50-token overlap), embeds via openai/text-embedding-3-small (1536 dims), stored in Postgres + pgvector with page-number metadata.
  • Retrieve — cosine-similarity search returns the top-k chunks; your agent synthesizes the answer.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http docs-mcp 'https://docs.regiq.in/api/mcp' --header 'Authorization: <Bearer <apiKey> — get yours at https://docs.regiq.in after Google sign-in.>'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "docs-mcp": {
            "type": "http",
            "url": "https://docs.regiq.in/api/mcp",
            "headers": {
                "Authorization": "<Bearer <apiKey> — get yours at https://docs.regiq.in after Google sign-in.>"
            }
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. docs-mcp
  2. What it does
  3. Tools
  4. Pricing
  5. Setup — any MCP client
  6. Recommended flow
  7. Self-host
  8. License

docs-mcp

Drop any Word, Excel, PDF or PowerPoint into a vector RAG store. Vision-model extraction handles scans, charts, and tables. Every returned chunk carries its page number for precise citations. Priced at exact break-even via Stripe — we make $0 per credit sold.

Live: docs.regiq.in

What it does

  1. Ingest — accepts .pdf, .docx, .xlsx, .pptx, .doc, .xls, .ppt up to 50 MB.
  2. Extract — renders every page as an image, runs Google Gemini 2.5 Flash Lite (via OpenRouter) over each page. Text, tables, and figure descriptions come out verbatim.
  3. Store — chunks (~500 tokens, 50-token overlap), embeds via openai/text-embedding-3-small (1536 dims), stored in Postgres + pgvector with page-number metadata.
  4. Retrieve — cosine-similarity search returns the top-k chunks; your agent synthesizes the answer.

Tools

ToolWhat it does
docs_upload({filename, contentBase64, mimeType?})Small (≤~7 MB) programmatic upload. Ingest runs async.
docs_list()All documents owned by the calling key.
docs_get({id})One doc's metadata + status + chunk count.
docs_search({query, k?, documentIds?})Semantic search. Returns top-k chunks with page numbers. Free.
docs_delete({id})Permanent delete.
docs_balance()Credit balance + last 10 transactions.

Bigger files: upload via the web dashboard at docs.regiq.in/dashboard (max 50 MB).

Pricing

1 credit = 1 page ingested. Queries are free. New accounts get 100 pages free on sign-up.

Top-upPages you get~Docs (10-pg avg)
$55,700570
$1011,7001,170
$2023,9002,390
$5060,5006,050

Per-page underlying cost is roughly $0.0005 vision + $0.00003 embedding via OpenRouter. Prices are set at exact break-even after Stripe's 2.9% + $0.30 fee — that flat fee is why $2 top-ups aren't offered (18% of $2 evaporates to Stripe).

Setup — any MCP client

  1. Sign in at docs.regiq.in with Google or GitHub.
  2. Copy your API key from /dashboard.
  3. Add to your client config:
{
  "mcpServers": {
    "docs": {
      "url": "https://docs.regiq.in/api/mcp",
      "headers": {
        "Authorization": "Bearer docs_live_..."
      }
    }
  }
}

Works in Claude Desktop, Cursor, Zed, and anything else that speaks streamable-http MCP.

1. docs_upload({filename, contentBase64})   →  { id, status: "processing" }
2. poll docs_get({id}) until status="ready" (~10-60s for 10 pages)
3. docs_search({query: "...", k: 8})        →  chunks with page numbers
4. Your LLM synthesizes an answer and cites the page numbers.

Self-host

git clone https://github.com/globalion/docs-mcp
cd docs-mcp
cp .env.example .env  # fill in Google OAuth + OpenRouter + (optional) Stripe
docker compose up -d --build

Uses pgvector/pgvector:pg16 image so the vector extension is pre-installed. docker exec docs-mcp-web npx prisma@6.19.2 db push --accept-data-loss --skip-generate on first boot to sync the schema (the container CMD does this automatically).

License

MIT — see LICENSE. Built by Shreyas, shipped by Globalion.

Questions fréquentes

Qu'est-ce que io.github.Shreyas-Profile/docs-mcp ?

Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.

Comment installer io.github.Shreyas-Profile/docs-mcp ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http docs-mcp 'https://docs.regiq.in/api/mcp' --header 'Authorization: <Bearer <apiKey> — get yours at https://docs.regiq.in after Google sign-in.>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.Shreyas-Profile/docs-mcp ?

Oui. Il attend Authorization, à renseigner dans sa configuration.

io.github.Shreyas-Profile/docs-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.Shreyas-Profile/docs-mcp ?

Il est publié par globalion. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.