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    Provides a serverless implementation of the Model Context Protocol for registering and managing tools, enabling in-memory client-server connections and credential transmission via request context.
    15
    1
    MIT
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    A framework to deploy MCP servers on AWS using serverless services like Lambda, API Gateway, and EventBridge, with dynamic tools, prompts, and resources managed via SSM parameters and Lambda functions.
    1,673
    1
    MIT
  • F
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    Connects Claude to TeamSnap accounts to access teams, rosters, events, and availability data. Supports OAuth 2.0 authentication with optional AWS serverless deployment for permanent HTTPS callback URLs.
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    4
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    Enables AI agents to manage databases, deploy serverless JavaScript functions, and handle cloud file storage on the Codehooks.io platform. It supports full CRUD operations on collections, key-value storage with TTL, and comprehensive system logging.
    21
    11
  • A
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    AI-native open-source backend-as-a-service. Manage Postgres with RLS, auth, file storage, serverless TypeScript functions, durable objects, realtime, KV, AI gateway, and RAG via MCP, either HTTP at /mcp on a self-hosted instance or stdio with npx @butterbase/mcp.
    2,978
    Apache 2.0
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    The Dodo Payments MCP Server integrates with agentic frameworks to provide a lightweight, serverless-compatible interface for AI-driven payment operations like billing, subscriptions, and customer management. It enables autonomous agents to securely act on behalf of users using the Dodo Payments
    1,330
    53
    Apache 2.0
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    Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.
    15
    MIT
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    quality
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    Enables policy-style auditing of content through the audit_vibe MCP tool to enforce configurable guardrails. Supports both local stdio and serverless Streamable HTTP deployment via Vercel for flexible integration with MCP clients.
    4
    MIT
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    Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.
    MIT