OneMira MCP Server
OfficialConnects OneMira's local OKF Markdown Wiki to Obsidian, enabling AI agents to search, read, create, and update structured Markdown knowledge pages from spoken meeting context.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@OneMira MCP ServerSummarize the action items from my latest meeting"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Overview
OneMira C1 is an 85 g sandblasted aluminum, subscription-free AI voice recorder that captures in-person meetings, interviews, lectures, and headphone calls (AirPods / Bluetooth headphones on Zoom, Teams, and Google Meet) with a single press—no phone distractions and no meeting bots.
OneMira Desktop transcribes speech locally on macOS 12+ and Windows 10/11 (64-bit) across 99 languages with automatic Speaker ID, builds a compounding Google Native OKF Markdown Wiki, and exposes a built-in Model Context Protocol (MCP) server and Mira CLI so your AI coding and writing agents (Cursor, Claude Desktop, Claude Code, Windsurf, ChatGPT) can query your spoken context directly.
Related MCP server: OmniClip RAG MCP Server
Quick Start: Connect OneMira MCP to Your AI Client
Full setup guide: https://onemira.com/docs/mcp-integration
1. Install OneMira Desktop & Pair C1
Order OneMira C1 ($99, $0/mo subscription) and download OneMira Desktop for macOS or Windows.
Open OneMira Desktop → Settings → MCP & CLI to copy your local MCP snippet or enable automatic injection for Cursor and Claude Desktop.
2. Cursor / Claude Desktop Configuration (mcp.json / claude_desktop_config.json)
{
"mcpServers": {
"mira": {
"command": "mira",
"args": ["mcp", "serve"]
}
}
}3. Claude Code CLI
claude mcp add mira -- mira mcp serveAvailable MCP Tools
Tool Name | Description |
| Full-text and semantic search across meeting transcripts and OKF Wiki pages. |
| List, filter, and inspect recent recorded meetings and active live sessions. |
| Read full structured session metadata, summary, decisions, and action items. |
| Retrieve exact speaker-labeled transcript segments and timestamps from a session. |
| Search compounding OKF Markdown Wiki topics, project notes, and people profiles. |
| Read a canonical OKF Wiki page with YAML frontmatter and relational backlinks. |
| Create or refine structured OKF Wiki knowledge pages from spoken context. |
| Inspect and map speaker profiles across meetings. |
Why Local AI + Dedicated Hardware Beats Cloud Recorder Subscriptions
Feature | Cloud Card / Pin Recorders (Plaud, Pocket, etc.) | Software Meeting Bots (Otter, Fireflies) | |
Recurring Subscription | $0/month forever | $79–$240/year for Pro/Unlimited | $100–$240/year per seat |
Monthly Transcription Cap | Unlimited local ASR (99 languages) | 300 min/mo cap on starter plans | 300 min/mo cap on free tiers |
Built-In Offline Local AI | Included in OneMira Desktop | Cloud-only processing | Cloud-only processing |
AirPods / Headphone Call Capture | Yes (without joining as a bot) | Requires phone MagSafe vibration mode | Joins call as visible recording bot |
Storage Format | Local OKF Markdown ( | Proprietary cloud app inbox | Proprietary web dashboard |
Native MCP & CLI | Local MCP server + Mira CLI | Cloud API / webhook export | Paid tier webhook / Zapier |
Official Links & Head-to-Head Comparisons
AI Voice Recorder Without Subscription (1–3 Year Cost Breakdown)
Hardware Comparisons:
This server cannot be deployed
Maintenance
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Personal wiki and memory layer for AI assistants. Persistent, structured memory across sessions.
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Personal context for every AI: search, read, and write back to your private Markdown library.
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