Glean MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Autocomplete, Bulk Index Documents, Chat, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Glean through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Glean app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Glean "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Glean?"
)
print(result.data)
asyncio.run(main())
* 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
About Glean MCP Server
Connect your Glean workspace to any AI agent and unlock enterprise knowledge through natural conversation.
Pydantic AI validates every Glean tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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- Document Management — Index new documents, bulk-index batches, retrieve document metadata, and remove outdated content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
The Glean MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Glean tools available for Pydantic AI
When Pydantic AI connects to Glean through Vinkius, your AI agent gets direct access to every tool listed below — spanning enterprise-search, unified-search, people-discovery, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Glean to Pydantic AI via MCP
Follow these steps to wire Glean into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Glean MCP Server
Pydantic AI provides unique advantages when paired with Glean through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Glean integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Glean connection logic from agent behavior for testable, maintainable code
Glean + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Glean MCP Server delivers measurable value.
Type-safe data pipelines: query Glean with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Glean tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Glean and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Glean responses and write comprehensive agent tests
Example Prompts for Glean in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Glean immediately.
"Search for our deployment runbook and the on-call rotation schedule."
"Ask the AI assistant: What is our company's refund policy for enterprise customers?"
"Find the engineering lead for the payments team and search Slack for recent discussions about PCI compliance."
Troubleshooting Glean MCP Server with Pydantic AI
Common issues when connecting Glean to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGlean + Pydantic AI FAQ
Common questions about integrating Glean MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.