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Improvado extracts your Fireflies meeting transcripts, action items, and call metadata and makes them queryable through any MCP-compatible AI agent. Ask what was decided across 500 meetings without opening a single recording. Works with Claude, Cursor, and more.
Stop scrubbing through recordings to find that one decision. Your AI agent searches full transcripts, speaker-attributed text, and action items across your entire Fireflies workspace. The MCP server handles transcript retrieval and semantic search.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent reads meeting transcripts and generates follow-up emails, Notion pages, or task lists — all grounded in what was actually said. No more rewriting the same post-meeting summary from scratch.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Let your AI agent watch for patterns across meetings — competitors mentioned frequently, unresolved action items piling up, or topics your team keeps getting asked about but hasn't addressed.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent reads meeting transcripts and generates follow-up emails, Notion pages, or task lists — all grounded in what was actually said. No more rewriting the same post-meeting summary from scratch.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
A team member who handled a key account leaves. Their notes are incomplete, their memory of conversations is gone, and the new person starts from zero. Fireflies has every call recorded, but without searchable transcripts connected to AI, that knowledge is practically inaccessible.
Improvado indexes all Fireflies transcripts and makes them queryable. The new team member asks their AI agent for the full history of discussions with that account — commitments made, objections raised, product feedback given. Full context in minutes, not weeks.
Fireflies captures action items per meeting, but there's no consolidated view across all calls. Following up means opening each meeting individually, checking what was assigned, and manually tracking completion. Most action items are forgotten within 48 hours.
Ask your AI agent for a consolidated action item report across all recent meetings. It pulls every assigned item, groups by owner, and flags which ones are past due. The entire follow-up workflow becomes one query.
Your team wants to understand why deals stall in late-stage. The answer is probably in call transcripts, but analyzing hundreds of recordings to find common themes is impractical. You'd need to listen to each one or read each transcript manually.
Improvado extracts and normalizes Fireflies transcript data so your AI agent can run pattern analysis across the entire corpus. Identify recurring objections, topics that correlate with closed-won deals, or questions that signal high buyer intent — at scale.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Full meeting transcripts with speaker attribution, AI-generated summaries, action items, meeting metadata (date, duration, attendees, meeting type), call scores, and topic tags. All queryable in natural language across your entire workspace.
Yes. You can filter by speaker name, meeting date range, topic keywords, assigned action items, or meeting type. For example: 'Show me everything a specific role said about pricing in Q1 discovery calls.' The AI agent handles the filtering logic.
Yes — Zoom, Google Meet, Microsoft Teams, and any other platform Fireflies connects to. As long as Fireflies has the transcript, the MCP server can access it. Meeting type metadata is preserved so you can filter by sales calls, standups, or customer success meetings separately.
Fireflies' native search is keyword-based within their UI. With the MCP server, your AI agent can perform semantic search, cross-reference multiple calls simultaneously, aggregate patterns across hundreds of transcripts, and combine meeting data with other data sources — things the native search can't do.
Yes. Improvado is SOC 2 Type II certified. Transcript data is accessed through Fireflies' official API using your credentials, processed in Improvado's secure infrastructure, and never stored in conversation logs. Access is scoped to what your Fireflies API token permits.
Under 5 minutes. Generate a Fireflies API key from your account settings, connect it to Improvado, then add one line to your MCP client config. Your full transcript history is available immediately — no data migration required.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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