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Connecting Claude and Ollama

  • Why this server?

    This server is specifically designed for connecting Claude Desktop with other MCP clients, utilizing efficient memory management which is essential when integrating with Ollama.

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    A Python-based server that implements the Model Context Protocol to interface with Claude Desktop as an MCP client, supporting interaction through efficient memory management.
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    1
    Python
    MIT License
  • Why this server?

    While this server doesn't directly connect Claude to Ollama it is a server that integrates with Ollama and a PostgreSQL database which could be an important part of a system that connects Claude and Ollama.

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    An interactive chat interface that combines Ollama's LLM capabilities with PostgreSQL database access through the Model Context Protocol (MCP). Ask questions about your data in natural language and get AI-powered responses backed by real SQL queries.
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    TypeScript
  • Why this server?

    This server connects KoboldAI text generation to MCP clients, this is relevant as Kobold can integrate with Ollama. This makes it a potential bridge between Ollama and Claude.

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    A server enabling integration between KoboldAI's text generation capabilities and MCP-compatible applications, with features like chat completion, Stable Diffusion, and OpenAI-compatible API endpoints.
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    JavaScript
    MIT License
  • Why this server?

    This server is designed to facilitate interaction and context sharing between various AI models using the Model Context Protocol, potentially allowing Claude to communicate with another agent using Ollama.

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    Facilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.
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    Python
  • Why this server?

    This server allows for calling other MCP clients from your client making it useful for creating more complex systems where Claude calls Ollama.

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    A TypeScript-based server that allows calling other MCP clients from your own MCP client, facilitating task delegation and context window offloading for enhanced multi-agent interactions.
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    JavaScript
    MIT License
    • Apple
  • Why this server?

    This server allows interaction with various model providers, such as Anthropic (Claude) and potentially other models served via Ollama, if they implement an API.

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    This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
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    4
    Python
    MIT License
  • Why this server?

    This high-performance server supports REST, GraphQL and WebSockets making it a good option for connecting to various servers.

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    A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
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    5
    Python
    MIT License
  • Why this server?

    This server enables Claude to integrate with any OpenAI SDK compatible chat API, which could include a wrapper around Ollama's API.

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    Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.
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    107
    JavaScript
    MIT License
    • Apple
  • Why this server?

    This server allows Claude to execute python code which makes it useful for connecting different models since you can write a bridge script in Python.

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    A Pyodide server for executing Python code by Large Language Models (LLMs) via the Model Context Protocol (MCP).
    Last updated -
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    3
    TypeScript
    MIT License
  • Why this server?

    Provides a memory system for various LLMs and allows for different providers to be used. This may allow it to be used for both Claude and Ollama.

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    A TypeScript-based server that provides a memory system for Large Language Models (LLMs), allowing users to interact with multiple LLM providers while maintaining conversation history and offering tools for managing providers and model configurations.
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    20
    JavaScript
    • Apple