talonicdev/talonic-mcp

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Repository Install

Official Talonic MCP server. Lets AI agents extract structured data from any document via the Model Context Protocol.

概览

Give any AI agent the ability to extract structured, schema-validated data from any document — PDFs, scans, invoices, contracts, forms — via the Model Context Protocol. stable, listed on the official MCP Registry as io.github.talonicdev/talonic-mcp. Thirty-six public tools and two resources, including seven decision-task tools for External-mode Talonic Apps (not yet production-verified, running at the platform's decide tier — a tlnc_ key with a per-app decide grant, or an OAuth session with the apps:decide scope and a senior_member role or above); the rest are verified end-to-end against production (including the Claude.ai hosted connector), each tool rendering its own ChatGPT Apps SDK widget card. Runs as a local stdio process for desktop/IDE clients or as the hosted Streamable HTTP server at mcp.talonic.com for Claude.ai connectors.

README

以下为原文 README 节选，完整内容请查看原文。

@talonic/mcp

Official Talonic MCP server. Give any AI agent the ability to extract structured, schema-validated data from any document — PDFs, scans, invoices, contracts, forms — via the Model Context Protocol.

Status: stable, listed on the official MCP Registry as io.github.talonicdev/talonic-mcp. Thirty-six public tools and two resources, including seven decision-task tools for External-mode Talonic Apps (not yet production-verified, running at the platform’s decide tier — a tlnc_ key with a per-app decide grant, or an OAuth session with the apps:decide scope and a senior_member role or above); the rest are verified end-to-end against production (including the Claude.ai hosted connector), each tool rendering its own ChatGPT Apps SDK widget card. Runs as a local stdio process for desktop/IDE clients or as the hosted Streamable HTTP server at mcp.talonic.com for Claude.ai connectors.

What you get

One install gives an agent the whole document-extraction workflow:

Tool	What it does
`talonic_extract`	Extract schema-validated JSON from a document, with per-field confidence scores. The primary tool.
`talonic_request_upload`	Get a browser upload link for files too large to pass through a hosted connector (e.g. Claude.ai). The robust path for real-world documents.
`talonic_to_markdown`	OCR a document to clean markdown.
`talonic_search`	Omnisearch across documents, fields, sources, and schemas.
`talonic_filter`	Filter documents by extracted field values (`eq`, `gt`, `between`, `contains`, …).
`talonic_get_document`	Fetch a document’s metadata, processing status, and links.
`talonic_list_schemas`	List saved schemas (with definitions).
`talonic_save_schema`	Save a reusable schema to the workspace.
`talonic_get_balance`	Read credit balance, EUR value, burn rate, and runway for budget-aware behaviour.
`talonic_get_pricing`	Read the public per-unit credit pricing catalog and multipliers to predict spend before running a job.
`talonic_get_usage`	Break down credit consumption per function over a trailing window (default 30 days).
`talonic_list_fields`	List the Field Registry — every canonical concept with a stable id, maturity (`core` / `proven` / `candidate`), synonyms and occurrence counts.
`talonic_get_field`	Concept card for one field (by id or by NAME): definition, aliases, maturity, occurrence stats, value distribution with examples, schema usage, identity links.

在 GitHub 查看完整 README

安装

npx -y @talonic/mcp@latest

新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "talonic": {
      "command": "npx",
      "args": ["-y", "@talonic/mcp@latest"],
      "env": { "TALONIC_API_KEY": "tlnc_your_key_here" }
    }
  }
}