CONNECT APP
Build with Vida
AI phone agents for business
Artificial Intelligence (AI)
- API key
MCP
Give your agent Vida tools
Every Vida action is exposed as an MCP tool on Pipedream's remote server. Point a client at it with your end user's ID and Connect resolves that user's Vida account for each tool call — you store no tokens.
// 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": "vida",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// e.g. run Add Context:
const result = await mcp.callTool({
name: "vida-provide-context",
arguments: {
target: "Target",
context: "Context",
},
})# access_token: mint a short-lived token with the Connect SDK — see the MCP guide
headers = {
"Authorization": f"Bearer {access_token}",
"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": "vida",
}
async with streamablehttp_client("https://remote.mcp.pipedream.net/v3", headers=headers) as (read, write, _):
async with ClientSession(read, write) as session:
await session.initialize()
tools = await session.list_tools()
# e.g. run Add Context:
result = await session.call_tool("vida-provide-context", {
"target": "Target",
"context": "Context",
})API PROXY
Call the Vida API directly
For an endpoint with no pre-built tool, the Connect proxy forwards your request to the Vida API with the connected user's credentials attached. You store no tokens and write no refresh logic.
const resp = await pd.proxy.get({
externalUserId: "{external_user_id}", // any stable ID for this user in your system
accountId: "apn_xxxxxxx",
url: "https://api.vida.dev/api/v2/listAccounts",
})
// Any allowed Vida endpoint works here. Pipedream attaches the
// connected account's credentials to the outgoing request.# The path segment is the target URL, URL-safe base64 encoded:
# https://api.vida.dev/api/v2/listAccounts
curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkudmlkYS5kZXYvYXBpL3YyL2xpc3RBY2NvdW50cw?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
-H "Authorization: Bearer {access_token}" \
-H "x-pd-environment: production"SDK
Run Vida actions from your backend
Connect a user's Vida account once, then run Add Context on their behalf from your own code — TypeScript, Python, or plain HTTP.
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: "vida-provide-context",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
vida: { authProvisionId: "apn_xxxxxxx" },
target: "Target",
context: "Context",
},
})from pipedream import Pipedream
pd = Pipedream(
client_id="{oauth_client_id}",
client_secret="{oauth_client_secret}",
project_id="{project_id}",
project_environment="production",
)
result = pd.actions.run(
id="vida-provide-context",
external_user_id="{external_user_id}", # any stable ID for this user in your system
configured_props={
"vida": {"authProvisionId": "apn_xxxxxxx"},
"target": "Target",
"context": "Context",
},
)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": "vida-provide-context",
"configured_props": {
"vida": { "authProvisionId": "apn_xxxxxxx" },
"target": "Target",
"context": "Context"
}
}'TOOLS
Vida actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
-
New Conversation (Instant)
triggerEmit new events after completion of any communication handled by your Vida AI agent, be it a call, text, or email.Instantv0.0.1 -
New Incoming Conversation (Instant)
triggerEmit new event when an incoming call or message is received before answered by an agent. Useful for providing context about the caller or messenger to your agent before response.Instantv0.0.1
- App slug
- vida
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 1
- Triggers
- 2
- API proxy
- Available