Bring Enterprise Search
to LlamaIndex
Learn how to connect Glean to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Glean MCP Server?
Connect your Glean workspace to any AI agent and unlock enterprise knowledge through natural conversation.
What you can do
- Universal Search — Search across all connected data sources (Confluence, Slack, Google Drive, Jira, and more) from a single query
- Datasource Filtering — Focus searches on a specific connected platform for targeted results
- People Search — Find employees by name, role, expertise, or department across your organization
- Document Management — Index new documents, bulk-index batches, retrieve document metadata, and remove outdated content
- Curated Collections — Browse and inspect curated content collections for onboarding, policies, and shared knowledge
- AI Chat — Ask questions to Glean's AI assistant, which generates answers grounded in your organization's knowledge base
- Autocomplete — Get intelligent search suggestions based on organizational knowledge as you type
How it works
1. Subscribe to this server
2. Enter your Glean API Token from the Admin Console
3. Start searching your enterprise knowledge from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Knowledge Workers — find answers across Confluence, Slack, Drive, and Jira without switching between tools
- IT Administrators — index custom documents and manage curated collections programmatically
- Engineering Teams — search codebases, wikis, and design docs through a single conversational interface
Built-in capabilities (12)
Autocomplete suggestions
Bulk index documents
AI chat
Verify connectivity
Delete a document
Get collection details
Get document details
Index a document
List collections
Search across all content
g., Confluence, Slack, Google Drive). Search in specific datasource
Search people
Why LlamaIndex?
LlamaIndex agents combine Glean tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Glean tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Glean tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Glean, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Glean tools were called, what data was returned, and how it influenced the final answer
Glean in LlamaIndex
Glean and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Glean to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Glean in LlamaIndex
The Glean MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Glean for LlamaIndex
Every tool call from LlamaIndex to the Glean MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search across multiple data sources like Confluence, Slack, and Google Drive simultaneously?
Yes! The search tool queries all connected data sources in a single request. If you want to narrow results to a specific platform, use search_by_datasource with the datasource name (e.g., 'Confluence', 'Slack', 'Google Drive'). Use autocomplete to get intelligent suggestions as you refine your query.
Can I ask the Glean AI assistant questions about my organization's knowledge?
Yes. The chat tool sends a natural language question to Glean's AI assistant, which generates an answer grounded in your organization's indexed knowledge — including documents, wikis, Slack conversations, and Jira tickets. This is ideal for getting synthesized answers rather than just search results.
Can I index custom documents into Glean programmatically?
Yes. Use index_document to add a single document with a JSON payload containing title, body, URL, and metadata. For large batches, use bulk_index_documents to index multiple documents in one request. Use delete_document to remove outdated content and get_document to verify indexing status.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Glean tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp