MCP server
by gleanwork
Enhance enterprise asset management with Glean’s knowledge management platform for advanced enterprise search and people
Connects to your company's Glean enterprise knowledge platform to search documents, find people, and chat with AI assistant that knows your organization's data.
Glean is an official MCP server published by gleanwork that provides AI assistants with tools and capabilities via the Model Context Protocol. Enhance enterprise asset management with Glean’s knowledge management platform for advanced enterprise search and people It is categorized under developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.
You can install Glean in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Glean is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We wired Glean into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Glean is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Glean benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Glean has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Glean against two servers with overlapping tools; this profile had the clearer scope statement.
Glean has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Glean benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Glean reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Glean into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Glean is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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This monorepo contains packages for Glean's local MCP server. For more details see the READMEs of the individual packages.
The local MCP server can be run via npx or Docker. See the @gleanwork/local-mcp-server README for Docker deployment instructions.
Please see CONTRIBUTING.md for development setup and guidelines.
MIT License - see the LICENSE file for details
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
