AddSearch MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AddSearch 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 AddSearch "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in AddSearch?"
)
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 AddSearch MCP Server
Connect your AddSearch account to your AI agent and turn your site's search index into an interactive, manageable database. Perfect for content teams and developers who need to audit site search performance without opening dashboards.
Pydantic AI validates every AddSearch tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Deep Search — Query your indexed content using natural language, apply custom field filters (e.g. "category=shoes"), or sort by custom variables
- Document Management — List all indexed pages, import new content directly via JSON, or permanently delete outdated documents from the index
- Search Analytics — Retrieve live statistics on user queries, identifying top searches, zero-result queries, and click-through rates
- Frontend Emulation — Test your auto-suggestions and pagination just like a real user interacting with your search bar
The AddSearch MCP Server exposes 10 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 AddSearch to Pydantic AI via MCP
Follow these steps to integrate the AddSearch 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 10 tools from AddSearch with type-safe schemas
Why Use Pydantic AI with the AddSearch MCP Server
Pydantic AI provides unique advantages when paired with AddSearch 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 AddSearch integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AddSearch connection logic from agent behavior for testable, maintainable code
AddSearch + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AddSearch MCP Server delivers measurable value.
Type-safe data pipelines: query AddSearch with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AddSearch tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AddSearch and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AddSearch responses and write comprehensive agent tests
AddSearch MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect AddSearch to Pydantic AI via MCP:
autosuggest
Get autocomplete suggestions
delete_document
Requires Secret Key. Permanently delete a document
index_document
Requires Secret Key. Add or update an indexed document
list_documents
Requires Secret Key. List all indexed documents
search_filtered
g., "category=shoes", "brand=nike"). Search indexed content by custom field
search_keyword
Search indexed content by keyword
search_pagination
Retrieve a specific page of search results
search_sorted
Search indexed content with custom sort
stats_clicks
Requires Secret Key. Retrieve click-through analytics
stats_queries
Requires Secret Key. Retrieve search query analytics
Example Prompts for AddSearch in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AddSearch immediately.
"Show me the top search queries that resulted in 0 hits."
"Search my site for "pricing updates" filtered by category=news."
"Test the auto-suggest for the prefix "shoe"."
Troubleshooting AddSearch MCP Server with Pydantic AI
Common issues when connecting AddSearch to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAddSearch + Pydantic AI FAQ
Common questions about integrating AddSearch 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 AddSearch with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 AddSearch to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.