Ashby MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Ashby Candidate, Get Ashby Application, Get Ashby Candidate, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ashby as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Ashby MCP Server for LlamaIndex 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
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Ashby. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ashby?"
)
print(response)
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 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.
LlamaIndex agents combine Ashby tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Ashby into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Ashby MCP Server
LlamaIndex provides unique advantages when paired with Ashby through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ashby tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ashby tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ashby, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ashby tools were called, what data was returned, and how it influenced the final answer
Ashby + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ashby MCP Server delivers measurable value.
Hybrid search: combine Ashby real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ashby to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Ashby for fresh data
Analytical workflows: chain Ashby queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Ashby in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Ashby to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAshby + LlamaIndex FAQ
Common questions about integrating Ashby MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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