Server data from the Official MCP Registry
Extract schema-guaranteed JSON from PDFs, images and messy text. 50 free credits, no card.
About
Extract schema-guaranteed JSON from PDFs, images and messy text. 50 free credits, no card.
Remote endpoints: streamable-http: https://aidataparser.com/v1/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved). 1 finding(s) downgraded by scanner intelligence.
6 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-shibley-aidataparser": {
"url": "https://aidataparser.com/v1/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
AIDataParser MCP server
The official Model Context Protocol registry record for AIDataParser — a credit-based data-extraction API that turns PDFs, images and messy text into schema-guaranteed JSON.
There is no server code in this repo. The MCP server is hosted: it lives at
https://aidataparser.com/v1/mcp and speaks JSON-RPC 2.0 over Streamable HTTP.
This repo holds the server.json that is the source of our record in
registry.modelcontextprotocol.io,
the canonical upstream every downstream MCP catalog syncs from.
Add it to your client
{
"mcpServers": {
"aidataparser": {
"type": "http",
"url": "https://aidataparser.com/v1/mcp",
"headers": { "Authorization": "Bearer adp_live_..." }
}
}
}
Get a key (50 free credits, no card):
curl -X POST https://aidataparser.com/v1/keys \
-H 'Content-Type: application/json' \
-d '{"email":"you@example.com"}'
list_schemas and validate are free and need no key, so a client can add
the server and get something useful back before signing up.
Tools
| Tool | Cost | What it does |
|---|---|---|
parse_document | 1 credit | PDF or image (url or base64) → JSON matching your schema |
parse_text | 1 credit | Raw/messy text → JSON matching your schema |
infer_schema | 1 credit | One sample → a reusable JSON Schema |
validate | free, no key | Check a JSON value against a schema |
check_credits | free | Credits remaining on the key |
list_schemas | free, no key | Built-in templates (invoice, receipt, resume, …) |
Credit packs: https://aidataparser.com/pricing
Publishing
.github/workflows/publish-mcp.yml publishes on a push to main using GitHub
OIDC — no secrets. Bump version in server.json to cut a release; a push that
does not change the version is a no-op.
Before it publishes, the workflow runs two gates:
npm test— static checks onserver.json(validate-server-json.mjs). Each rule maps to a real failure from a sibling repo, e.g. the registry's 100-char description cap that 422'daisotools-mcp-serverv0.1.0.npm run check:remote— a liveinitialize+tools/listhandshake against the URL about to be advertised. A registry record pointing at a dead endpoint is worse than no record.
Both are runnable locally.
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