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"How to integrate with Appwrite" matching MCP servers:

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    Enables interaction with Appwrite's backend services through natural language. Provides tools to manage databases, users, functions, teams, storage, and other Appwrite project resources via API integration.
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    MIT
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    A Model Context Protocol server that allows AI assistants to interact with Appwrite's API, providing tools to manage databases, users, functions, teams, and other resources within Appwrite projects.
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    MIT
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    Enables IDEs like Cursor, Windsurf, and Claude Code to access and query Appwrite documentation through a vector-powered search system. Provides developers with contextual Appwrite documentation directly within their development environment.
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    Enables AI applications to integrate with Tableau through tools, resources, and prompts for querying data, exploring content, and retrieving visualizations from Tableau workbooks and datasources.
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    Apache 2.0
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    Enables AI assistants to interact with the Roark REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
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    Apache 2.0
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    The PayPal Model Context Protocol server allows you to integrate with PayPal APIs through function calling. This protocol supports various tools to interact with different PayPal services.
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    Enables AI agents to integrate with IBM Business Automation Workflow by exposing workflow REST services as MCP tools, allowing natural language interaction with business automation capabilities.
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    Apache 2.0
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    The Stripe Model Context Protocol server allows you to integrate with Stripe APIs through function calling. This protocol supports various tools to interact with different Stripe services.
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    MCP server for sthan.io - US address verification, parsing, autocomplete, forward/reverse geocoding, and IP geolocation. 8 tools, TypeScript, stdio transport. Free tier, no credit card required.
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    MIT
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    Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.
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    Apache 2.0
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    Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.
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    MCP server for spatial queries via the Terranode Geospatial API, enabling AI agents to perform point-in-polygon lookups, nearest feature search, distance calculations, and spatial joins.
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    MIT
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    An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.
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    12