Backengine Mcp

BackEngine MCP Server

The customer-context layer for your revenue team — available to Claude and any MCP client.

What is BackEngine?

BackEngine is a multi-tenant SaaS platform that ingests all of an organization's customer and prospect communications — Slack threads, emails, call and meeting transcripts, and support tickets — and distills them into structured, queryable context. Raw conversations are processed into signals (categorized, attributed moments), sources (the underlying transcripts, emails, and tickets), and rolling project overviews, all isolated per tenant and scoped by role and access controls. The MCP server exposes this layer over the Model Context Protocol, so an LLM client can query customer signals, reconstruct context, prep for meetings, surface at-risk accounts, and draft grounded outreach from real conversation history — without leaving the chat.

Connecting

The server is remote and speaks streamable HTTP at https://backengine-prod.backengine.ai/mcp. You'll need a BackEngine account; the server authenticates your session on connect.

Clients with native remote MCP support

{
  "mcpServers": {
    "backengine": {
      "type": "streamable-http",
      "url": "https://backengine-prod.backengine.ai/mcp"
    }
  }
}

Clients that require a stdio bridge

For clients that don't yet support remote servers directly, proxy through mcp-remote:

{
  "mcpServers": {
    "backengine": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://backengine-prod.backengine.ai/mcp"]
    }
  }
}

Tools

The core tools for querying customer and prospect context are listed below. The exact tool set is resolved per connection — additional tools (creating and updating records, and integration-specific actions for Jira, Zendesk, HubSpot, Salesforce, and Slack) become available based on your permissions and which integrations your workspace has connected.

Tool	Description
list_projects	List customers and prospects; filter by name, type, etc.
get_project	Retrieve a customer or prospect, optionally with its overview.
get_project_overview	Pre-computed rolling 12-week summary for a customer or prospect.
list_signals	List signals (categorized moments); filter by project, role, and time.
find_similar_signals	Semantic search across signals from a natural-language query.
list_sources	List sources — transcripts, emails, Slack threads, and tickets.
get_source	Retrieve a source's content (summary, verbatim, or metadata only).
list_roles	List the perspective lenses (e.g. product, sales, CS) used to filter signals.
find_contacts	Find contacts by name, email, job title, or project.
list_signal_speakers	List who has been speaking across signals.

Links

• Website: https://backengine.ai
• MCP endpoint: https://backengine-prod.backengine.ai/mcp
• Model Context Protocol: https://modelcontextprotocol.io