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Enterpret

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Enterpret's Wisdom MCP Server brings customer intelligence directly into your favorite AI tools.

🔥🔥🔥✓ VerifiedFreeQuick setup
#automation#notion#database#customer-support

The Enterpret MCP server brings your customer feedback — themes, accounts, sentiment, verbatim quotes — into Claude, Cursor, Notion, and Glean. This article covers what it can do, how to set it up, and how to troubleshoot a connection.

Key capabilities:

  • Query your organization's complete customer feedback dataset

  • Get cited answers where every aggregate number links back to source records in the Enterpret dashboard

  • Pull verbatim customer quotes with speaker attribution

  • Discover entities, taxonomy values, and source-specific metadata fields on demand

Claude (Web & Desktop)

Note: Connectors require a paid Claude plan (Pro, Max, Team, or Enterprise).

Pro and Max

Click here to add Enterpret to Claude, then click Connect to authorize access.

...or, find it manually:

  • Open Claude and click Customize in the sidebar

  • Click Connectors

  • Click the + button

  • Search "Enterpret"

  • Click Connect to authorize access

Ask your question directly — no initialization step is required.

Team and Enterprise

Setting up Enterpret for your team is a two-step process: an admin adds the connector for the organization, then each team member connects individually.

Step 1: Admin adds the connector

Click here to add Enterpret to Claude, then click Add to enable it for your organization.

  • Navigate to Admin settings > Connectors

  • Search for "Enterpret" in the Connectors Directory and click Add

Then:

  • Navigate to Settings > Connectors

  • Find Enterpret in the list and click "Connect" to authorize access

Once connected, the Enterpret MCP becomes available to every member in your organization — no need to set it up user by user.

Step 2: Members connect individually

  • Navigate to Settings > Connectors

  • Find Enterpret in the list of available connectors

  • Click "Connect" to authorize access

Each member authenticates with their own account — queries and usage are tracked individually.

Claude Code

  • Open Terminal (or Command Prompt on Windows) and run: claude mcp add --transport http --scope user enterpret https://wisdom-api.enterpret.com/server/mcp

  • Start Claude Code: claude

  • Run the /mcp command, select Enterpret from the list of MCP servers, then click "Authenticate" to complete the authentication flow

Cursor

  • In your Enterpret dashboard, navigate to Settings > Enterpret MCP

  • Click the Connect button next to Cursor

  • This will start the configuration process in Cursor with your organization's MCP settings prefilled

Manual Setup

If auto-configuration doesn't work, you can manually configure Cursor:

  • Press Cmd+Shift+P (Mac) or Ctrl+Shift+P (Windows) to open the command palette

  • Type "Cursor Settings" and select it

  • Navigate to MCP in the left sidebar

  • Click Add Custom MCP

  • Add the following configuration: { "mcpServers": { "enterpret": { "command": "npx", "args": ["-y", "mcp-remote", "https://wisdom-api.enterpret.com/server/mcp"] } } }

  • Save the file (Cmd+S or Ctrl+S)

Codex App

Connect Enterpret to Codex to query customer feedback directly from your Codex workspace. Codex connects over Streamable HTTP with a Bearer token.

  • In Codex, open Settings and select MCP server

  • Click Add and enter:

  • Name: Enterpret

  • Mode: Streamable HTTP

  • URL: https://wisdom-api.enterpret.com/server/mcp

  • Add your Bearer token in the token field. To generate one, expand the Bearer Token Authentication section below (Settings > Enterpret MCP > Generate under Auth Token > Copy).

  • Save. Ask your question directly — no initialization step is required.

Codex CLI

Open Terminal and run:

codex mcp add enterpret --url https://wisdom-api.enterpret.com/server/mcp

Notion Custom Agents

Build Notion Custom Agents that run on top of your customer feedback — scheduled digests, in-page @mentions on PRDs, and database-backed workflows. Notion supports the full MCP protocol, so Enterpret works out of the box.

Follow the step-by-step setup in Enterpret in Notion Custom Agents.

Note: Requires a Notion Business or Enterprise plan. A workspace admin must enable Custom MCP servers under Settings → Notion AI → AI connectors (one-time).

Glean

Connect Enterpret to Glean so users can query customer feedback from the Glean Assistant and wire Enterpret tools into Glean Agent Builder workflows. Glean is admin-managed — a Glean workspace admin sets up the connection once in the Admin Console, and every authorized user gets access to it.

In Glean, go to Admin Console → Platform → Actions, click Add, and choose Import tools from MCP server. Use the following configuration:

  • MCP server URL: https://wisdom-api.enterpret.com/server/mcp

  • Transport type: Streaming HTTP

  • Authentication: OAuth (recommended) or Bearer token from Settings → MCP in your Enterpret dashboard

Once connected, an admin can enable individual Enterpret tools for the Glean Assistant and for Agent Builder, and apply role-based access to control which creators can use them in agents. For the full admin walkthrough, see Glean's documentation: Connect Remote MCP Servers to Glean.

Other AI Tools

For MCP-compatible AI tools not listed above, use this URL to connect to the Enterpret MCP: https://wisdom-api.enterpret.com/server/mcp

Bearer Token Authentication

In addition to OAuth, Enterpret MCP supports Bearer token authentication for MCP clients that require this method.

  • Navigate to Settings > Enterpret MCP in your Enterpret dashboard

  • Click Generate under Auth Token

  • Copy the token

  • Add the token to your MCP configuration using the --header flag:

--header "Authorization: Bearer YOUR_AUTH_TOKEN_HERE"

Example configuration:

{ "mcpServers": { "enterpret": { "command": "npx", "args": [ "-y", "mcp-remote", "https://wisdom-api.enterpret.com/server/mcp", "--header", "Authorization: Bearer YOUR_AUTH_TOKEN_HERE" ] } } }

Note: Tokens expire after 6 months. Generate a new token and update your configuration when needed.

Available Tools

Your AI assistant picks the right tools automatically based on what you ask — you don't need to call them by name. They're listed here so the names look familiar when you see them appear in your chat interface.

  • get_organization_details — Identifies your Enterpret organization, so answers link back to your dashboard.

  • get_graph_schema — Lets the assistant see what kinds of feedback you track and how it's organized.

  • get_query_examples — Gives the assistant reference patterns for common kinds of feedback questions before it answers.

  • search_graph_fields — Surfaces integration-specific data points like Zendesk tags, App Store ratings, or Gong call metadata.

  • search_graph_values — Looks up the exact themes, accounts, sources, or taxonomy values in your data, so the assistant searches and filters on real labels.

  • run_graph_query — Pulls the feedback that answers your question, with citation links back to source records.

  • find_user_quote — Surfaces verbatim customer quotes from the records behind your answer.

Migrating from older tool names? The legacy names (get_schema, execute_cypher_query, search_knowledge_graph) keep working for the lifetime of your current session, so an in-flight conversation never breaks mid-stream. The new names take over the next time your host refreshes its tool list — typically when you start a new conversation or reconnect the MCP server. No manual migration is required.

Citations and quotes

Enterpret MCP grounds its answers in your underlying data. When the assistant returns a number or a claim, the evidence travels with it.

Citations on every claim

Every aggregate number in an answer — a count, a percentage, a top-N list — is a link. Click it to open the underlying records in your Enterpret dashboard, filtered to exactly what drove that number. It's the fastest way to verify a finding and to share evidence with a teammate.

Customer quotes in their own words

When you ask "what are customers saying about X?", your assistant returns actual verbatim text — the words customers used, with speaker attribution, plus a link back to the source feedback. No paraphrasing, no AI-written summary. If no validated quote exists for your request, your assistant will tell you so rather than making one up.