Enhance enterprise asset management with Glean’s knowledge management platform for advanced enterprise search and people
by gleanwork·Updated Apr 13, 2026Add 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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Desktop Commander MCP
Terminal control, file system search, and diff-based file editing for Claude and other AI assistants. Execute shell comm
Beads
Beads — a drop-in memory upgrade for your coding agent that boosts context, speed, and reliability with zero friction.
Datadog
MCP server for Datadog — enables Claude to interact with Datadog data and workflows.
MCPO (MCP-to-OpenAPI)
By Open WebUI. A simple, secure MCP-to-OpenAPI proxy server. Expose any MCP server as a REST API with automatic OpenAPI
Brevo
Connect AI assistants to Brevo with the Model Context Protocol server for seamless API integration and automated workflo
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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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"glean-local-server": {
"command": "npx",
"args": [
"-y",
"@gleanwork/local-mcp-server"
]
}
}
}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.
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
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.
Amicus MCP Server
Amicus MCP Server: state persistence for AI coding assistants—preserves shared context, summaries, next steps and active