Salary.com API MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Salary.com API 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 Salary.com API. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Salary.com API?"
)
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 Salary.com API MCP Server
Empower your AI agent to orchestrate your entire compensation research and career auditing workflow with Salary.com, the authoritative source for salary data. By connecting the Salary.com API to your agent, you transform complex benchmark lookups into a natural conversation. Your agent can instantly retrieve salary ranges for thousands of job titles, audit market trends, and search for open positions without you ever touching a technical portal. Whether you are managing payroll budgets or planning your next career move, your agent acts as a real-time compensation analyst, ensuring your data is always grounded in verified, high-quality market records.
LlamaIndex agents combine Salary.com API tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Compensation Auditing — Retrieve high-resolution salary benchmarks for any job title and location, including base salary and percentile metadata.
- Job Oversight — Search for open job positions and retrieve detailed descriptions and requirements to maintain a clear view of the market.
- Trend Intelligence — Query salary market trends to understand the trajectory of compensation for specific roles instantly.
- Career Discovery — List all available job categories in the Salary.com catalog to identify relevant paths for your research.
- Operational Monitoring — Check API status to ensure your compensation research workflow is always operational.
The Salary.com API MCP Server exposes 6 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 Salary.com API to LlamaIndex via MCP
Follow these steps to integrate the Salary.com API 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 6 tools from Salary.com API
Why Use LlamaIndex with the Salary.com API MCP Server
LlamaIndex provides unique advantages when paired with Salary.com API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Salary.com API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Salary.com API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Salary.com API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Salary.com API tools were called, what data was returned, and how it influenced the final answer
Salary.com API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Salary.com API MCP Server delivers measurable value.
Hybrid search: combine Salary.com API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Salary.com API 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 Salary.com API for fresh data
Analytical workflows: chain Salary.com API queries with LlamaIndex's data connectors to build multi-source analytical reports
Salary.com API MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Salary.com API to LlamaIndex via MCP:
check_api_status
com API is operational. Check if the Salary.com API is operational
get_job_details
Get full details for a specific job ID
get_salary_benchmark
Get salary benchmarks for a job title and location
get_salary_market_trends
Get market salary trends for a specific job title
list_job_categories
List all available job categories
search_jobs
Search for open jobs by keyword and location
Example Prompts for Salary.com API in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Salary.com API immediately.
"What is the average salary for a 'Product Manager' in 'Austin, TX' using Salary.com?"
"Find open 'Software Engineer' jobs in 'San Francisco'."
"Show salary trends for 'Data Scientist' roles."
Troubleshooting Salary.com API MCP Server with LlamaIndex
Common issues when connecting Salary.com API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSalary.com API + LlamaIndex FAQ
Common questions about integrating Salary.com API 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 Salary.com API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
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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 Salary.com API to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.