For the complete documentation index, see llms.txt. This page is also available as Markdown.

MCP tools overview

The Algenta MCP server exposes the engine as Model Context Protocol tools for Cursor, Claude, and other hosts. Browse the tool catalog by domain.

The Algenta MCP server (algenta-mcp) turns your engine into a set of Model Context Protocol tools. Point an MCP host at your deployment and your assistant can discover datasets, run governed queries, manage connectors, simulate decisions, and more — every tool a thin, authenticated wrapper over one /v1 endpoint. This section is the reference for the tools themselves, grouped by domain. For installing and connecting the server, see the MCP server page.

Each MCP tool maps one-to-one to an Algenta API endpoint. Anything you can do through a tool you can reproduce with a direct curl against the same /v1 path — useful for verifying behavior outside an MCP host.

How the tools appear in your host

Once the server is configured, the tools show up in your host's tool panel after a restart, named exactly as in the reference tables below (for example list_data, query_data, create_connector). You drive them in natural language; the assistant picks the tool and fills the arguments.

Host
Transport
Config

Cursor, Claude Desktop, Zed, Windsurf, VS Code

stdio

Add algenta-mcp to the host's MCP config.

ChatGPT, OpenWebUI, LibreChat, n8n, custom apps

Streamable HTTP

Point the client at $ALGENTA_BASE_URL/mcp.

The tool schemas are always live. Enumerate the exact set your deployment exposes with:

curl -s $ALGENTA_BASE_URL/mcp/tools | jq -r '.tools[].name'

The visible tool set depends on your key's entitlements and product edition. If a tool below is not in the live list for your deployment, your key is not entitled to it. Start any session with get_contract to read the machine-readable capability contract.

Tool groups

Each page is a reference: a table of every tool in the group, the method and endpoint each maps to, and worked examples you can run from an MCP host or reproduce with curl.

The server exposes many more tools than these three groups — LLM utilities, decisions and simulations, agent runs, triggers, repository intelligence, and control-plane operations among them. The MCP server page catalogs the core set, and get_contract returns the full contract for your deployment.

Discover, then act

The data and query tools are designed to be chained low-token first, then exact — cheap discovery before you pay for a full schema or a query.

1

Read the contract

get_contract returns the machine-readable contract: tool names, endpoint families, and the governed-filter rules for this deployment.

2

Find datasets cheaply

list_data(search=..., compact=true) for low-token dataset discovery, then get_data_summary(dataset_id) before loading the full schema.

3

Load the schema only when needed

get_data_schema(dataset_id) returns columns, roles, formulas, and query hints — reach for it once you have chosen a dataset.

4

Run governed queries

query_data for a single governed exact query, query_batch for several in one call, and query_sql_report for wide read-only rowsets.

Next steps

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