Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Verified extraction: source-backed JSON from PDFs/URLs; honest null + signed receipt.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://proofetch-vektoris-ai-workflows.vercel.app/mcpRun this in your terminal
claude mcp add --transport http proofetch https://proofetch-vektoris-ai-workflows.vercel.app/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"proofetch": {
"url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"proofetch": {
"type": "http",
"url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://proofetch-vektoris-ai-workflows.vercel.app/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account Vektoris-AI, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.0.2) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Reelsaw
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
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Structured data from PDFs and web pages, where every value is backed by an exact source quote — or honestly left `null`. Never guessed. Each result ships with a cryptographically signed receipt you can verify yourself.
proofetch is a hosted MCP server and HTTP API built for developers and AI agents. You pay only for fields that pass the proof — €0.02 per verified field. Empty or unprovable fields cost nothing.
https://proofetch-vektoris-ai-workflows.vercel.app/mcpio.github.Vektoris-AI/proofetchThis repository is the public connector & documentation for the hosted proofetch service. The extraction pipeline itself is operated as a service — you don't self-host it, you call it with an API key.
Normal extraction fills every field — even when the value is invented. You then have to re-check every number by hand. proofetch is different:
null + flagged, instead of a fabricated value.verdict: PASS).Buy prepaid balance (from €5) on the landing page — you get your key instantly after payment:
👉 https://vektoris.de/proofetch#preise
curl -X POST https://proofetch-vektoris-ai-workflows.vercel.app/extract \
-H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "source": { "type": "pdf_url", "value": "https://example.com/invoice.pdf" }, "targetSchema": { "type": "object", "properties": { "invoice_total": { "type": "string" }, "due_date": { "type": "string" }, "invoice_number":{ "type": "string" } }, "additionalProperties": false } }'
Source types (source.type): pdf_url, pdf_base64, url, text, html. `targetSchema` is a standard JSON Schema (type: "object", properties, additionalProperties: false).
{
"data": { "invoice_total": "1,190.00 EUR", "due_date": "2024-09-30", "invoice_number": null // honest null — not found in source }, "fields": [ { "path": "invoice_total", "value": "1,190.00 EUR", "verdict": "PASS", "provenance": { "quote": "1,190.00 EUR", "start": 43, "end": 55 } }, { "path": "invoice_number", "value": null, "verdict": "FAIL", "provenance": null } ], "verdict": "PARTIAL", "receipt": { "v": 1, "jobId": "pf_…", "outputHash": "sha256:…" }, "billing": { "charged": true, "amountCents": 4 } }
data — clean JSON, each field proven or honestly nullfields[] — per field: source quote (provenance) + verdict (PASS/FAIL)verdict — overall: PASS, PARTIAL, or FAILreceipt — signed proof with hashes, self-verifiableCheck your balance any time: GET /billing/balance with the same key.
proofetch speaks the Model Context Protocol over Streamable HTTP. Point any MCP-capable client at the remote endpoint with your key as a bearer token.
Endpoint: https://proofetch-vektoris-ai-workflows.vercel.app/mcp Auth: Authorization: Bearer YOUR_API_KEY Tool: verified_extract — same contract as the HTTP API above.
Example client config (generic MCP streamable-http remote):
{
"mcpServers": { "proofetch": { "type": "streamable-http", "url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }
proofetch is built for autonomous agents: discoverable via the A2A card and MCP, payable per call via x402 / AP2, and every receipt is independently verifiable.
© Vektoris. The proofetch service and pipeline are proprietary; this connector/documentation is provided under the MIT License (see LICENSE).