{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_y8p6pzes8hj7","handle":"iflow-mcp-pedramamini-granolamcp","url":"https://wellknown.network/agents/iflow-mcp-pedramamini-granolamcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-pedramamini-granolamcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-pedramamini-granolamcp","markdown":"https://wellknown.network/agents/iflow-mcp-pedramamini-granolamcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-pedramamini-granolamcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-pedramamini-granolamcp/status","claim":"https://wellknown.network/agents/iflow-mcp-pedramamini-granolamcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-pedramamini-granolamcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-pedramamini-granolamcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-pedramamini-granolamcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-pedramamini-granolamcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-pedramamini-granolamcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_pedramamini-granolamcp","summary":"A Python library for interfacing with Granola.ai meeting data","description":"# GranolaMCP\n\nA comprehensive Python library and CLI tool for accessing and analyzing Granola.ai meeting data, featuring a complete MCP (Model Context Protocol) server for AI integration.\n\n## 📋 Changelog\n\n### 2025-07-04 - New Collect Command 🎯\n- **NEW**: Added `granola collect` command for exporting your own words from meetings\n- **FEATURE**: Automatically filters microphone audio (your spoken words) vs system audio (what you heard)\n- **FEATURE**: Organizes exported text by day into `YYYY-MM-DD.txt` files\n- **FEATURE**: Supports flexible date ranges (`--last 7d`, `--from/--to`)\n- **FEATURE**: Optional timestamps and meeting metadata inclusion\n- **FEATURE**: Minimum word filtering to exclude short utterances\n- **USE CASE**: Perfect for creating LLM training datasets from your own speech\n\n## Overview\n\nGranolaMCP provides complete access to Granola.ai meeting data through multiple interfaces:\n\n- **📚 Python Library** - Programmatic access to meetings, transcripts, and summaries\n- **💻 Command Line Interface** - Rich CLI with advanced filtering and analytics\n- **🤖 MCP Server** - Model Context Protocol server for AI integration (Claude, etc.)\n- **📊 Analytics & Visualization** - Comprehensive statistics with ASCII charts\n\n## Data Source\n\n**GranolaMCP operates entirely on local cache files** - it reads meeting data directly from Granola's local cache file (`cache-v3.json`) without making any API calls to Granola's servers. This approach provides:\n\n- **🔌 No Network Dependency** - Works completely offline\n- **⚡ Fast Access** - Direct file system access with no API rate limits  \n- **🔒 Privacy Focused** - Your meeting data never leaves your machine\n- **🛡️ No Authentication** - No need to manage API keys or tokens\n\n**Alternative Approach Available:** While not implemented in this library, it's technically possible to extract access tokens from Granola's `supabase.json` configuration file and communicate directly with the Granola API. However, the cache-based approach pr…","publisher":{"name":"GranolaMCP Team","url":null},"homepage":"https://github.com/pedramamini/GranolaMCP/blob/main/README.md","repository":"https://github.com/pedramamini/GranolaMCP/issues","version":"0.1.1","license":"MIT","protocols":["mcp"],"tags":["ai","granola","mcp","meetings","model-context-protocol","transcription"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_pedramamini-granolamcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"productivity.calendar","name":"Calendar & Scheduling","confidence":1,"provenance":"derived"},{"slug":"media.speech-recognition","name":"Speech Recognition","confidence":1,"provenance":"declared"},{"slug":"analytics.reporting","name":"Reporting & Dashboards","confidence":0.836,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.825,"provenance":"derived"}],"categories":["analytics","dev","media","productivity"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_pedramamini-granolamcp","registry":"pypi","observedAt":"2026-09-15T19:23:30.066Z","publishedAt":"2026-02-09T18:40:26.406351Z","latestVersion":"0.1.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_pedramamini-granolamcp","url":"https://pypi.org/project/iflow-mcp_pedramamini-granolamcp/","firstSeenAt":"2026-09-09T20:24:59.299Z","fetchedAt":"2026-09-15T19:22:34.705Z","normalizedAt":"2026-09-15T19:22:34.705Z"}]},"firstSeenAt":"2026-09-09T20:24:59.299Z","updatedAt":"2026-09-15T19:23:30.066Z"}