Koskamo

proofetch MCP

A hosted MCP server providing verified data extraction from PDFs and web pages. It returns structured JSON where every value is backed by an exact source quote or honestly left null, accompanied by a cryptographically signed receipt for verification.

Endpoint and access

API key: create a key with the vendor first; your client sends it as an authorization header on every request.

proofetch MCP logo, by Vektoris-AICommunity listingStreamable HTTPAPI keyEndpoint checked 2026-11-07Published by Vektoris-AI
You need:Buy prepaid balance (from €5) on the landing page — you get your key instantly after payment
MCP endpoint (Streamable HTTP)
https://proofetch-vektoris-ai-workflows.vercel.app/mcp
Vendor documentation

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Extract structured data from PDF invoices
  • Verify extracted values against source documents
  • Get signed receipts for data provenance

Source and maintenance

Community listingRegistry 0.0.2
mcp-registry: io.github.Vektoris-AI/proofetch@0.0.2Source repository
Maintenance checked

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
310 ms
95th percentile latency
310 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 310 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http proofetch-mcp https://proofetch-vektoris-ai-workflows.vercel.app/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add proofetch-mcp --url https://proofetch-vektoris-ai-workflows.vercel.app/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable proofetch-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "proofetch-mcp": {
      "url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "proofetch-mcp": {
      "type": "streamableHttp",
      "url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start proofetch-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "proofetch-mcp": {
      "type": "http",
      "url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http proofetch-mcp https://proofetch-vektoris-ai-workflows.vercel.app/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://proofetch-vektoris-ai-workflows.vercel.app/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "proofetch-mcp": {
      "serverUrl": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
    }
  }
}

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