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https://api.cala.ai/mcp/
For more information about MCP and how it works, you can read more about it here.
Pair with the agent skill. The MCP server gives your agent access to Cala’s tools. The agent skill gives it the knowledge to use them well. Install both for the full experience.

Connect your agent to Cala’s MCP

You can use Cala via our MCP. To get started, you need to get an API key to authenticate your MCP client. Go to our Console and create a new API key.

Get Cala's API key

Create a free Cala account and get your API key.
With your API key in hand, you can connect your AI agent such as Cursor, Claude Desktop and others to our MCP server. Cala MCP gives AI agents access to verified, structured and typed knowledge — both as natural-language answers and structured data — as well as entity information.
Add to ~/.cursor/mcp.json:
{
    "mcpServers": {
        "Cala": {
            "url": "https://api.cala.ai/mcp/",
            "headers": {
                "X-API-KEY": "YOUR_CALA_API_KEY"
            }
        }
    }
}
For more information, follow their documentation here.

Available Tools

Here are the tools available to the Cala MCP:

knowledge_search

Get a succinct, token-optimized answer in natural-language markdown, with sources, explainability, and matching entities. Accepts either a natural-language question or a Cala QL expression as input.

knowledge_query

Get verified knowledge as structured, typed JSON rows plus matching entities. Accepts either a Cala QL expression or a natural-language question as input.

entity_search

Search entities by name with fuzzy matching.

entity_introspection

Get the field schema for an entity by its UUID. Returns the available properties, relationships, and numerical observations you can use when querying an entity.

retrieve_entity

Retrieve information about an entity by its UUID.

Hubs & Marketplaces

You can also find Cala’s MCP server listed on the following hubs and marketplaces:

mcpservers.org

Browse Cala’s MCP server listing on mcpservers.org.