Ashby MCP Server for CrewAIGive CrewAI instant access to 10 tools to Create Ashby Candidate, Get Ashby Application, Get Ashby Candidate, and more
Connect your CrewAI agents to Ashby through Vinkius, pass the Edge URL in the `mcps` parameter and every Ashby tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The Ashby MCP Server for CrewAI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from crewai import Agent, Task, Crew
agent = Agent(
role="Ashby Specialist",
goal="Help users interact with Ashby effectively",
backstory=(
"You are an expert at leveraging Ashby 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 Ashby "
"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 Ashby MCP Server
Connect your Ashby account to any AI agent and take full control of your recruiting pipeline and candidate experience through natural conversation.
When paired with CrewAI, Ashby becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Ashby 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
- Candidate Orchestration — List and manage candidate profiles programmatically, including creating new records and retrieving high-fidelity profile metadata
- Application Lifecycle Management — Monitor job applications and retrieve detailed status metrics for specific candidates to coordinate your hiring funnel in real-time
- Interview Intelligence — Access scheduled interviews and retrieve submitted high-fidelity feedback reports to summarize performance and sentiment
- Job & Department Visibility — Retrieve complete directories of open jobs, departments, and hiring managers to maintain a perfectly coordinated organizational view
- User & Location Monitoring — Access your internal recruiter directory and physical office locations directly through your agent for instant operational reporting
The Ashby MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Ashby tools available for CrewAI
When CrewAI connects to Ashby through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, talent-acquisition, hiring-pipeline, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create ashby candidate on Ashby
Create candidate
Get ashby application on Ashby
Get application details
Get ashby candidate on Ashby
Get candidate details
Get ashby job on Ashby
Get job details
List ashby applications on Ashby
List applications
List ashby candidates on Ashby
List candidates
List ashby feedback on Ashby
List feedback
List ashby interviews on Ashby
List interviews
List ashby jobs on Ashby
List jobs
List ashby users on Ashby
List users
Connect Ashby to CrewAI via MCP
Follow these steps to wire Ashby into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 10 tools from AshbyWhy Use CrewAI with the Ashby MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Ashby 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
Ashby + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Ashby MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Ashby 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 Ashby, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Ashby 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 Ashby against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for Ashby in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Ashby immediately.
"List all active candidates in my Ashby recruiting pipeline."
"Show the latest interview feedback for candidate ID 'cand_123'."
"Create a new candidate profile for 'Jane Smith' (jane@example.com)."
Troubleshooting Ashby MCP Server with CrewAI
Common issues when connecting Ashby to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Ashby + CrewAI FAQ
Common questions about integrating Ashby 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.Explore More MCP Servers
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