MCP server for Glean
MCP server for Glean
An MCP server implementation that integrates the Glean API, providing the Search and Chat functions.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| Search | List of search results given a query |
| Chat | Q&A with Chatbot |
{
"mcpServers": {
"glean-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GLEAN_API_KEY",
"-e",
"GLEAN_DOMAIN",
"glean-server"
],
"env": {
"GLEAN_API_KEY": "YOUR_GLEAN_API_KEY",
"GLEAN_DOMAIN": "YOUR_DOMAIN_HERE"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| GLEAN_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
| GLEAN_DOMAIN | Declared in the maintainer’s client configuration. | Check documentation |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Cross-agent handoff: the next coding agent starts from the last one's facts, not a blank page.
AI coding agents spend most of their input tokens on tool output: build logs, test runs, git status, the same file read again after every edit. All of it goes into the context window raw, and it is…
Verified, version-pinned answers about fast-moving frameworks for coding agents.
See what your agent can and can't see. Diagnoses silent failures in your Storybook MCP manifest.