Fireflies ACTION
Continue AskFred Conversation
Ask a follow-up question in an existing AskFred conversation thread, continuing the context of a prior question. Use Ask Question About Meeting first to start a thread and obtain its
thread_id. See the documentation- Action
- Writes data
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Fireflies account once, then configure and run Continue AskFred Conversation 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: "fireflies-continue-askfred-conversation",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
fireflies: { authProvisionId: "apn_xxxxxxx" },
threadId: "Thread ID",
query: "Follow-up Question",
},
})
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": "fireflies-continue-askfred-conversation",
"configured_props": {
"fireflies": { "authProvisionId": "apn_xxxxxxx" },
"threadId": "Thread ID",
"query": "Follow-up Question"
}
}'// 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": "fireflies",
},
},
},
)
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: "fireflies-continue-askfred-conversation",
arguments: {
threadId: "Thread ID",
query: "Follow-up Question",
},
})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 |
|---|---|---|
threadId Thread ID | string | The AskFred thread to continue. Use the thread_id returned by Ask Question About Meeting, or List AskFred Thread ID Options to browse existing threads. Required |
query Follow-up Question | string | The follow-up question to ask in this thread, e.g. Can you provide more detail on the budget discussion?. Maximum 2000 characters. Required |
responseLanguage Response Language | string | Language code for the AI's response, e.g. en or es. Defaults to English. Optional |
formatMode Format Mode | string | How the answer should be formatted. Accepted values are markdown or plaintext. 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
- fireflies-continue-askfred-conversation
- Version
- 0.0.2
- App
- Fireflies
- Authentication
- API key
- Read-only
- No
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗