Best for
- Scenarios requiring exact cell addresses with computed readback
- Formula-driven business logic in backend services
- Workbook applications needing JSON persistence
The Bilig WorkPaper MCP server brings spreadsheet formula calculations to AI agents and Node services, supporting input edits, formula recalculation, JSON persistence, and an MCP tool interface. It is integrated with the official MCP registry and provides both stdio and remote HTTP endpoints. Although not officially maintained, it offers thorough verification paths in its documentation.
Strongest · Maintenance 14/20 Weakest · Reliability 10/20
Static review · not runListed 2026-09-08
Read the FMRS scoring method →Runtime:Node.js >=22.0.0 · Docker · Hosted (no local runtime)
Launch the server via stdio using the npm package @bilig/headless, or use the remote Streamable HTTP endpoint https://bilig.proompteng.ai/mcp. To configure an MCP client, add the JSON above to your client config file.
{
"mcpServers": {
"bilig-workpaper": {
"command": "npx",
"args": [
"-y",
"@bilig/headless"
]
}
}
}
Shown for Claude Desktop. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.
{
"servers": {
"bilig-workpaper": {
"command": "npx",
"args": [
"-y",
"@bilig/headless"
]
}
}
}
Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).
claude mcp add bilig-workpaper -- npx -y @bilig/headless
Run it in a terminal; replace any <…> placeholders with your own values first.
The client's tool list should show tools like read_cell, set_cell_contents, and export_workpaper_document; you can also run npm exec --yes --package @bilig/workpaper@latest -- bilig-evaluate --door agent-mcp -- and confirm the output shows verified: true.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
Bilig WorkPaper is an MCP server that provides agents formula-workbook read/write and recalculation capabilities. It enables editing input cells, reading formula-computed outputs, persisting workbook state as JSON, and exposing MCP tools for workbook risk preflight. Designed for Node services and AI agents that need to interact with structured formula workbooks.
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Source revision 49db26b4bcaa Data synced 2026-10-19 Read the FMRS scoring method