meeting-summarizer-ai-mcp MCP server by MEOK AI Labs
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-csoai-org-meeting-summarizer-ai-mcp": {
"command": "<see-readme>",
"args": []
}
}
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MCP server for meeting summarizer ai mcp operations
No automated test available for this server. Check the GitHub README for setup instructions.
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Others in productivity / writing
Persistent memory using a knowledge graph
Dynamic problem-solving through sequential thought chains
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.
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Meeting Summarizer Ai MCP provides AI-powered tools via the Model Context Protocol (MCP).
| Tool | Description |
|---|---|
summarize_meeting | Summarize a meeting transcript into key points, topics discussed, and participan |
extract_action_items | Extract action items and tasks from meeting transcript with assignee detection. |
identify_decisions | Identify key decisions made during a meeting from the transcript. |
generate_followup | Generate a follow-up email draft from a meeting transcript. |
pip install meok-meeting-summarizer-ai-mcp
Add to your Claude Desktop MCP config (claude_desktop_config.json):
{
"mcpServers": {
"meeting-summarizer-ai": {
"command": "python",
"args": ["-m", "meok_meeting_summarizer_ai_mcp.server"]
}
}
}
from mcp.server.fastmcp import FastMCP
# This server exposes 4 tool(s) via MCP
# See server.py for full implementation
MIT © MEOK AI Labs