mcpField

About Kenda

Read-only MCP server for querying Kenda token spend and waste

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"kenda-co-ingestion": {
"command": "uvx",
"args": [
"ingestion-mcp"
],
"env": {
"KENDA_ENDPOINT": "<KENDA_ENDPOINT>",
"KENDA_TOKEN": "<KENDA_TOKEN>"
}
}
}
}
Run commanduvx ingestion-mcp
Environment variables to set
KENDA_ENDPOINTKenda API base URL, e.g. https://api.kenda.app. Optional: normally read from ~/.kenda/config.json, which `kenda-collect init` writes. Set this to override the file.
KENDA_TOKENSecretPer-customer Kenda ingest token (kenda_...). Optional: normally read from ~/.kenda/config.json. Set this to override the file.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiingestion-mcp0.2.0

Tools

2

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.