Kindo ACTION
Chat
Creates a model response for the given chat conversation using Kindo's API. See the documentation for more information.
- Action
- Writes data
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Kindo account once, then configure and run Chat from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "kindo-chat",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
kindo: { authProvisionId: "apn_xxxxxxx" },
model: "Model",
messages: ["Messages"],
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "kindo-chat",
"configured_props": {
"kindo": { "authProvisionId": "apn_xxxxxxx" },
"model": "Model",
"messages": ["Messages"]
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "kindo",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "kindo-chat",
arguments: {
model: "Model",
messages: ["Messages"],
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
model Model | string | The model name from Kindo's available models Required |
messages Messages | string[] | A list of messages comprising the conversation so far. Depending on the model you use, different message types (modalities) are supported, like text, images, and audio. See the documentation for more information. Eg. `[{"role": "user", "content": "Hello, world!"}] Required |
maxTokens Max Tokens | integer | The maximum number of tokens to generate in the completion. Optional |
temperature Temperature | string | Optional. What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. Optional |
topP Top P | string | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both. Optional |
n N | integer | How many completions to generate for each prompt Optional |
stop Stop | string[] | Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. Optional |
presencePenalty Presence Penalty | string | Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. Optional |
frequencyPenalty Frequency Penalty | string | Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. Optional |
additionalParameters Additional Parameters | object | Additional parameters to pass to the API. Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- kindo-chat
- Version
- 0.0.2
- App
- Kindo
- Authentication
- API key
- Read-only
- No
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗