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talonicdev/talonic-mcp

talonicdev/talonic-mcp

Schema-validated extraction of
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Config template (adjust for your client)
claude mcp add talonic-mcp -- npx -y talonic-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
5 ★ · talonicdev/talonic-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 5 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository talonicdev/talonic-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

@talonic/mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**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.
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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. |
| **talonic_field_values** | One concept's current values across all documents, with provenance (document, source text, resolution band). |
| **talonic_find_data** | Resolve a concept in the user's words to the fields, values, documents and passages that carry it — by meaning, not by name. |
| **talonic_list_agent_tools** | The platform's agent tool registry (query_data SQL, describe_data, document markdown, …) with schemas and per-credential invocability. |
| **talonic_invoke_agent_tool** | Run one platform agent tool directly with your own arguments — no model in the loop. |
| **talonic_list_agent_tasks** | Metadata worklist for documents parked at Agent stages. |
| **talonic_get_agent_task** | Audited fetch of one Agent task's immutable input snapshot and output contract. |
| **talonic_claim_agent_task** | Acquire or reclaim a leased Agent task and its execution epoch. |
| **talonic_heartbeat_agent_task** | Extend the current claim lease on an Agent task using its epoch. |
| **talonic_submit_agent_task** | Submit an Agent task's declared typed outputs transactionally and resume the document. |
| **talonic_list_specs** | List the workspace's configured Specs (pipelines) — name, schema, version, field/node counts. |
| **talonic_get_spec** | Get one Spec's full structure: nodes, compiled phases, fields, and (optionally) its version history. |
| **talonic_run_spec** | Run a Spec over documents already in the workspace or public file URLs — one call, either backend. |
| **talonic_get_run** | Poll a Spec run's status and progress until it completes. |
| **talonic_get_run_results** | Read a Spec run's structured rows, one per document, with column definitions. |
| **talonic_ask** | Ask a natural-language question over the workspace's documents and get a cited, verified answer. |
Source
awesome · https://github.com/talonicdev/talonic-mcp
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