Salary.com API MCP Server for Pydantic AI 6 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Salary.com API through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Salary.com API "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Salary.com API?"
)
print(result.data)
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.
Pydantic AI validates every Salary.com API tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Salary.com API MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Salary.com API MCP Server
Pydantic AI provides unique advantages when paired with Salary.com API through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Salary.com API integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Salary.com API connection logic from agent behavior for testable, maintainable code
Salary.com API + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Salary.com API MCP Server delivers measurable value.
Type-safe data pipelines: query Salary.com API with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Salary.com API tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Salary.com API and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Salary.com API responses and write comprehensive agent tests
Salary.com API MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect Salary.com API to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Salary.com API to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSalary.com API + Pydantic AI FAQ
Common questions about integrating Salary.com API MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Salary.com API 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 Salary.com API to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.