Glean MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Glean through Vinkius, pass the Edge URL in the `mcps` parameter and every Glean tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Glean Specialist",
goal="Help users interact with Glean effectively",
backstory=(
"You are an expert at leveraging Glean tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Glean "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 enterprise account to any AI agent and take full control of your corporate-wide knowledge discovery and AI-powered workspace through natural conversation.
When paired with CrewAI, Glean becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Glean tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Corporate Discovery Orchestration — Identify bounded CRM records and extract explicitly attached REST arrays targeting
/searchto find knowledge mapped across all SaaS applications natively - Live AI Answer Retrieval — Enumerate explicitly attached structured rules to fire RAG mechanisms, returning pure AI-generated blocks distilled from your company data limitlessly
- Multi-Source Filtering — Perform structural extraction of properties by hardcoding explicit filters parsing only specific datasources like Jira, Confluence, or Slack nodes synchronousy
- People & Identity Discovery — Retrieve corporate active directory information, matching user skills, roles, and names directly to generate hard customer bindings natively
- Intelligent Chat Orchestration — Commands explicit REST targets checking
/chatto manage ongoing text streams while maintaining historical thread mapping for complex reasoning - Knowledge Ingestion & Indexing — Upload massive custom text properties directly routing into corporate search logic to verify internal documentation boundaries securely
- Predictive Autocomplete — Discovers disconnected physical limits executing
/autocompleteto predict precise page destinations from partial prefixes flawlessly - Data Deletion Oversight — Explains explicitly mapped arrays checking
/deleteto remove indexed documents permanently and block future retrieval vectors
The Glean MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Glean to CrewAI via MCP
Follow these steps to integrate the Glean MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Glean
Why Use CrewAI with the Glean MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Glean through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Glean + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Glean MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Glean for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Glean, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Glean tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Glean against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Glean MCP Tools for CrewAI (10)
These 10 tools become available when you connect Glean to CrewAI via MCP:
autocomplete
Retrieve explicit Cloud logging tracing explicit Vault limits
chat_completion
Dispatch an automated validation check routing explicit Gateway history
custom_request
` merging physical POST arrays strictly. Identify precise active arrays spanning native Hold parsing
delete_document
Inspect deep internal arrays mitigating specific Plan Math
get_answer
Enumerate explicitly attached structured rules exporting active Billing
get_suggestions
Irreversibly vaporize explicit validations extracting rich Churn flags
index_document
Identify precise active arrays spanning native Gateway auth
search_datasource
g. Perform structural extraction of properties driving active Account logic
search_docs
Identify bounded CRM records inside the Headless Glean Platform
search_people
Provision a highly-available JSON Payload generating hard Customer bindings
Example Prompts for Glean in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Glean immediately.
"Search for 'Q2 hiring plan' in all apps"
"Who knows about 'React Native' in my company?"
"Get AI answer for: 'What is our expense policy for business travel?'"
Troubleshooting Glean MCP Server with CrewAI
Common issues when connecting Glean to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Glean + CrewAI FAQ
Common questions about integrating Glean MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Glean with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Glean to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.