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URL: https://glama.ai/mcp/servers/integrations/pydantic

⇱ Pydantic | Glama

  • Why this server?

    Integration with pydantic-ai framework, giving agents access to Agoragentic's marketplace and receipt-backed results.

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    Agent-to-agent marketplace where AI agents discover, invoke, and pay for services from other agents using USDC on Base L2. 72+ services, free tools, x402 micropayments.
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  • Why this server?

    Integrates with Logfire, a Pydantic service, to retrieve and analyze application telemetry data through the Logfire APIs using read tokens from the Logfire project settings.

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    A Model Context Protocol server that enables LLMs to retrieve and analyze OpenTelemetry traces and metrics from Logfire, supporting exception tracking and custom SQL queries against telemetry data.
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    161
    MIT

  • Why this server?

    Allows analyzing Pydantic models, listing models, inspecting fields and validators, and finding model usages across a FastAPI project.

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    An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.
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  • Why this server?

    Utilized for data validation and modeling within the MCP server, enabling structured handling of PubMed data and tool requests.

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    A comprehensive Model Context Protocol server that enables advanced PubMed literature search, citation formatting, and research analysis through natural language interactions.
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  • Why this server?

    Provides a preset for Pydantic projects, automatically detecting Pydantic and generating configuration to obfuscate Pydantic models while preserving field validators and serialization methods.

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    Model Context Protocol server for pyobfus — the Python obfuscator. Lets Claude Desktop, Claude Code, Cursor, Windsurf, and Zed call pyobfus tools (preflight risk check, zero-config init, reverse stack-trace mapping) directly from an agent conversation.
    Last updated
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    Apache 2.0

  • Why this server?

    Uses Pydantic for configuration validation and data modeling in SignNow API interactions

  • Why this server?

    Uses Pydantic models for data validation and serialization in the web search feature implementation.

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    Enables advanced web search across multiple search engines (Brave, DuckDuckGo, Google, Bing, Yandex) with intelligent backend selection, full content extraction, and advanced filtering by time, language, geography, and content type.
    Last updated
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    MIT

  • Why this server?

    Uses Pydantic for type validation of URL parameters and request configuration

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    A Model Context Protocol (MCP) server that enables Claude or other LLMs to fetch content from URLs, supporting HTML, JSON, text, and images with configurable request parameters.
    Last updated
    3
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    MIT

  • Why this server?

    Provides PydanticAI agents with native MCP integration for versioned shared state coordination and conflict detection.

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    Shared versioned state for multi-agent AI workflows. An MCP server.
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    MIT