Crelate Talent CRM MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Crelate Talent CRM as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Crelate Talent CRM. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Crelate Talent CRM?"
)
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 Crelate Talent CRM MCP Server
Integrate Crelate, the specialized recruiting CRM and applicant tracking system (ATS), directly into your AI workflow. Manage your talent pipeline, monitor job orders, and track candidate activities using natural language.
LlamaIndex agents combine Crelate Talent CRM tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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 Management — List, search, and retrieve full profiles for candidates and contacts.
- Job Tracking — Monitor open and past job opportunities and their current status.
- Activity Logging — Review recent recruiting activities including calls, emails, and internal notes.
- Client Relationship — Manage company records and associated client data seamlessly.
The Crelate Talent CRM MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Crelate Talent CRM to LlamaIndex via MCP
Follow these steps to integrate the Crelate Talent CRM MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Crelate Talent CRM
Why Use LlamaIndex with the Crelate Talent CRM MCP Server
LlamaIndex provides unique advantages when paired with Crelate Talent CRM through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Crelate Talent CRM tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Crelate Talent CRM tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Crelate Talent CRM, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Crelate Talent CRM tools were called, what data was returned, and how it influenced the final answer
Crelate Talent CRM + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Crelate Talent CRM MCP Server delivers measurable value.
Hybrid search: combine Crelate Talent CRM real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Crelate Talent CRM 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 Crelate Talent CRM for fresh data
Analytical workflows: chain Crelate Talent CRM queries with LlamaIndex's data connectors to build multi-source analytical reports
Crelate Talent CRM MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Crelate Talent CRM to LlamaIndex via MCP:
create_contact
Add a new candidate or contact to the database
get_contact_details
Get detailed profile for a specific candidate or contact
get_contact_notes
List internal notes for a specific contact
get_job_details
Get detailed information for a specific job order
list_companies
List all companies and client records
list_contacts
List all candidate and contact records in Crelate
list_crelate_users
List internal recruiters and team members
list_jobs
List open and past job opportunities
list_recent_activities
List recent recruiting activities (calls, emails, notes)
search_contacts_by_name
Search for contacts by name keyword
Example Prompts for Crelate Talent CRM in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Crelate Talent CRM immediately.
"List all candidates who applied for the 'Senior Developer' job."
"Show me the recent activity for candidate 'Sarah Jones'."
"List all open jobs in the 'Engineering' department."
Troubleshooting Crelate Talent CRM MCP Server with LlamaIndex
Common issues when connecting Crelate Talent CRM to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCrelate Talent CRM + LlamaIndex FAQ
Common questions about integrating Crelate Talent CRM 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?
Connect Crelate Talent CRM with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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.
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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 Crelate Talent CRM to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
