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Glean Local MCP Server

MCP Server

Run a local Model Context Protocol server with ease

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Updated Mar 16, 2025

About

The Glean Local MCP Server provides a lightweight, local implementation of the Model Context Protocol, enabling developers to test and integrate MCP clients in their development environment quickly.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Glean MCP Server Overview

The Glean MCP Server bridges the Model Context Protocol with Glean’s Chat API, allowing AI assistants to query and retrieve contextual information directly from an organization’s knowledge base. By exposing Glean as a first‑class MCP resource, developers can embed up‑to‑date company data—such as policy documents, FAQs, and internal wikis—into conversational agents without writing custom API wrappers or handling authentication manually.

At its core, the server listens for MCP messages and forwards them to Glean’s REST endpoints. The response is then wrapped back into the MCP format, preserving the rich fragment structure that AI assistants rely on for accurate reasoning. This tight coupling ensures that user questions are answered with authoritative, indexed content from the organization’s own data store, rather than generic web‑search results. The result is a more trustworthy and privacy‑respecting dialogue experience, especially important in regulated or confidential environments.

Key capabilities include:

  • Unified authentication: A single configuration holds the Glean API key and base URL, simplifying deployment across environments.
  • Streaming support: The server can stream partial results back to the assistant, enabling low‑latency responses for large documents or complex queries.
  • Debugging integration: By running the server with the MCP inspector, developers can inspect message flows and troubleshoot issues in real time.
  • Cursor compatibility: A minimal entry lets Cursor users launch the server as a local MCP provider, eliminating the need for external orchestration.

Typical use cases span internal help desks, compliance monitoring, and knowledge‑base search. For example, a sales assistant can ask about the latest product pricing policy; the MCP server forwards that query to Glean, retrieves the relevant policy document, and streams it back as a structured answer. In regulatory settings, auditors can query for specific policy clauses, ensuring that the assistant only references verified company documents.

By integrating seamlessly into existing MCP workflows—whether as a standalone service or embedded within tools like Cursor—the Glean MCP Server empowers developers to deliver AI experiences that are contextually accurate, privacy‑aware, and tightly coupled with an organization’s own data assets.