For the complete documentation index, see llms.txt. This page is also available as Markdown.

MCP Server

The vCon MCP Server β€” an open-source Model Context Protocol server that gives AI assistants standardized access to vCon conversation data.

The vCon MCP Server is the canonical way for AI assistants β€” Claude, Cursor, custom agents β€” to read, write, and reason about vCon conversation data. It speaks the Model Context Protocol over stdio or Streamable HTTP, exposes 37 tools grouped into seven categories, and is backed by a Supabase Postgres deployment with optional Redis caching and pgvector-based semantic search.

The code lives at vcon-dev/vcon-mcp. It's MIT-licensed, TypeScript, and ships as both an npm package (vcon-mcp) and a Docker image (public.ecr.aws/r4g1k2s3/vcon-dev/vcon-mcp:main).

When to use it

  • You want Claude Desktop (or any MCP client) to query a vCon database in natural language.

  • You're building an LLM agent that needs durable, structured access to conversation history.

  • You have vCons in a conserver-managed Supabase backend and want a query layer that's safe to expose to language models.

  • You need the May 2026 contract / discovery surface β€” stable response envelopes, cursor pagination, byte-budget enforcement β€” for production LLM workflows.

Documentation layout

Get started:

Use it:

Run it:

Understand it:

External:

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