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Index local mail, chats, and documents for AI access over MCP.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "KIAgent" MCP server from askskill:
Run: claude mcp add --transport http 'com-localkiagent-kiagent' 'https://{subdomain}.localkiagent.com/mcp'Use KIAgent to search my locally indexed emails, chats, and documents for anything related to “Q3 budget changes,” then summarize the key points by source.
A summary of relevant content, grouped by whether it came from email, chat, or documents.
Use KIAgent to find past discussions in the local corpus about “switching vendors,” and list the main reasons and people involved.
A concise recap of the discussion, including decision reasons and mentioned participants.
Search all locally indexed material through KIAgent for mentions of “customer renewal risk” and produce a brief conclusion.
A cross-source summary of findings from emails, chats, and documents, plus a brief conclusion.
Developers or knowledge workers can index emails, chats, and documents into a local SQLite corpus and expose it to AI clients over MCP. This reduces manual searching across scattered information sources.
When users need context for a topic across emails, chats, and documents, this tool lets AI search the local corpus and summarize the results. It is useful for locating past discussions and supporting materials.
It indexes mail, chats, and documents into a local SQLite corpus and serves that corpus to AI clients over MCP. Its core purpose is to let AI search your local information assets.
Based on the description, it works with three content types: mail, chats, and documents. More detailed source support is not provided here; see the source repository.
The provided material only says it serves a local SQLite corpus over MCP and does not include installation or dependency details. For exact requirements and setup, see the source repository.
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