Fireflies MCP Server

Overview

The Fireflies MCP server bridges Claude and other AI assistants with the Fireflies.ai platform, turning meeting data into actionable insights. By exposing a small set of focused tools—transcript retrieval, detailed transcript lookup, keyword search, and summary generation—the server removes the friction of handling API calls, authentication, and data formatting. Developers can plug this MCP into their existing workflow without writing any custom integration code, allowing AI agents to query past meetings, pull speaker metadata, and produce concise summaries on demand.

Solving a Real‑World Pain Point

In many organizations, meetings are recorded and transcribed automatically by services like Fireflies.ai, yet the resulting data remains siloed. Teams struggle to locate relevant discussions or extract key takeaways without manually sifting through long transcripts. The Fireflies MCP server addresses this by providing a declarative interface: an AI assistant can ask for “the latest transcript about budget planning” or “a bullet‑point summary of the Q3 review,” and the server will perform the necessary API calls, filtering, and summarization in a single step. This reduces time spent on data wrangling and lets decision makers focus on content rather than logistics.

Core Features Explained

• Transcript Management – returns a paginated list of meeting records, with optional date ranges and limits. This lets assistants quickly surface recent meetings or narrow the scope to a specific quarter.
• Detailed Transcript Lookup – pulls the full transcript text, speaker roles, timestamps, and metadata. The rich payload is ideal for downstream processing or for feeding into other NLP pipelines.
• Advanced Search – supports free‑text queries, enabling keyword‑driven discovery of relevant meetings. The tool returns matching transcript IDs and basic context, which can then be passed to the detail or summary tools.
• Summary Generation – accepts a transcript ID and an optional format ( or ). The server uses Fireflies’ built‑in summarization engine to produce concise, structured overviews that can be inserted directly into reports or chat conversations.

Use Cases and Real‑World Scenarios

• Post‑Meeting Knowledge Bases – An AI assistant can automatically ingest new meeting transcripts into a company wiki, summarizing each session and tagging relevant projects.
• Searchable Meeting Archives – Teams can query past discussions by topic, speaker, or date, retrieving only the relevant excerpts without downloading entire transcripts.
• Automated Reporting – Project managers can ask for a “bullet‑point summary of the last sprint review,” and the MCP will return a ready‑to‑copy report snippet.
• Compliance Audits – Legal teams can pull detailed transcripts for specific dates and generate summaries to verify that regulatory discussions were documented.

Seamless Integration with AI Workflows

Because the MCP exposes tools in a standard, declarative format, any Claude‑compatible assistant can invoke them using natural language prompts. The server handles authentication via an environment variable, so developers only need to provide the API key once in their configuration. Once integrated, AI agents can chain multiple tools: search for relevant meetings, retrieve details, and generate a summary—all within the same conversation. This composability allows complex workflows—such as “find all meetings where a new feature was discussed, then summarize each”—to be expressed in plain language.

Unique Advantages

• Zero‑Code Integration – Developers can add the server to their environment without writing custom adapters or handling OAuth flows.
• Built‑in Summarization – Leveraging Fireflies’ native summarization reduces the need for third‑party NLP services, keeping latency low and cost predictable.
• Rich Metadata Exposure – Beyond plain text, the server returns speaker IDs, timestamps, and meeting context, enabling advanced analytics or custom formatting.
• Open‑Source & MIT Licensed – The lightweight implementation encourages community contributions and guarantees that the server can be freely used, modified, or redistributed.

By encapsulating Fireflies.ai’s capabilities behind a clean MCP interface, the Fireflies MCP server empowers AI assistants to turn raw meeting data into actionable knowledge with minimal friction.