Tebiz Data API: FNS financials and 44-FZ procurement
Tebiz Data API
Tebiz's official remote MCP server for FNS financial statements by INN and 44-FZ procurement contracts by OKPD2, plus REST examples in Python and Node.js
- 0 ★ on the repository
- Last commit
- MIT
Extended access
Why this level
- Connects the remote api.tebiz.ru MCP server through the mcp-remote bridge
- Reads FNS company filings and 44-FZ contracts with a token
Install
- Works in
- Services
In your terminal, with SkillFoxx CLI
npx skillfoxx add mcp/tebiz-data-apiDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Connects the remote api.tebiz.ru MCP server through the mcp-remote bridge
- Reads FNS company filings and 44-FZ contracts with a token
This is third-party code. Review the repository files before installing.
What it does
The repository offers two entry points to the same data. The api.tebiz.ru REST API returns Russian companies' FNS financial statements (revenue, profit, assets by year, filtered by INN) and 44-FZ procurement contracts (filtered by OKPD2 code), with cursor pagination, a 240 requests-per-minute limit and a monthly row quota. The MCP server at https://api.tebiz.ru/mcp/ connects through the mcp-remote bridge and gives the agent three tools: list_resources for the dataset list, describe_resource for a dataset's columns and filters, and query for the actual request with filters. The examples already embed a demo token limited to about fifty large companies and five OKPD2 codes; a full token covering 15 million companies is issued on the site.
Who it is for. For financial analysts, government-sector sales people and developers who need FNS financial statements and procurement data right in an agent chat or their own script.
Good fit when
- You need a quick look at a Russian company's revenue, profit and assets by INN across several years
- You need to find 44-FZ contracts by OKPD2 code: suppliers, customers, amounts
- You need an MCP tool the agent calls itself during the conversation, without writing code
Not a fit when
- You need all 15 million companies and full data depth: the demo token is limited to about fifty companies and five OKPD2 codes
- You need data outside FNS financial statements and 44-FZ procurement: no other datasets are in the examples
- You need more than 240 requests per minute or more rows per month than the demo token allows
Example request
Show me Tatneft's revenue and profit by INN 1644003838 for the last four yearsMCP
- Transport
- http
- Authentication
- API key
Environment variables
TEBIZ_TOKENrequired, secret- Access token for the Tebiz API; a demo token is embedded in the examples, a full one is issued at api.tebiz.ru.
Limitations
The demo token is embedded in plain text in the README and example code, limited to a demo dataset and not meant for production. Full access and its limits are paid, with exact pricing not stated in the README, only a link to the site. The MCP server is remote and runs through api.tebiz.ru; if the site is unavailable the tools stop responding.
How to disable. Remove the fssp block from mcpServers in your client config, and for the REST examples just delete the local repository copy.
FAQ
Do I need to install anything for the MCP server?
Only Node.js: the client connects to the remote server through the mcp-remote bridge, which runs automatically via npx.
What's visible with the demo token?
A limited demo slice: about fifty large companies for financials and five OKPD2 codes for procurement, listed in full in DEMO_DATA.md.
Discussion
No questions or reviews yet.
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README in short
The bilingual README describes Tebiz's REST API and MCP server for Russian company data: FNS financial statements by INN and 44-FZ procurement by OKPD2. It covers the filter and operator syntax, cursor pagination, error codes, rate limits and row quota, the embedded demo token, a pointer to a separate MCP setup guide, and a template for adding a new dataset. MIT license.