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Mcp_server_client

Mcp_server_client

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github.com/muralianand12345Developer Tools2Updated 72w ago
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About Mcp_server_client

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#mcp-server-client#api#streamlit

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README
%%{init: {'flowchart': {'curve': 'bezier'}}}%%
flowchart TB
    subgraph Client
        User["User"]
        Frontend["Streamlit Frontend"]
    end

    subgraph API
        NestJS["NestJS API"]
        subgraph Services
            ChatService["Chat Service"]
            AgentService["Agent Service"]
            ToolAgentService["Tool Agent Service"]
            RagService["RAG Service"]
            OpenAIService["OpenAI Service"]
        end
    end

    subgraph Tools
        MCP1["MCP Server 1"]
        MCP2["MCP Server 2"]
        MCP3["MCP Server 3"]
    end

    subgraph Storage
        LocalStack["AWS S3"]
        PGVector["PGVector"]
        PostgreSQL["Postgres DB"]
    end

    subgraph External
        OpenAI["OpenAI API"]
    end

    User -- "query" --> Frontend
    Frontend -- "response" --> User
    Frontend -- "POST /chat" <--> NestJS
    
    NestJS <--> ChatService
    ChatService <--> RagService
    ChatService <--> AgentService
    ChatService <--> ToolAgentService
    
    RagService -- "embedding" <--> OpenAIService
    RagService <--> PGVector
    
    ToolAgentService -- "/sse" <--> MCP1
    ToolAgentService -- "/sse" <--> MCP2
    ToolAgentService -- "/sse" <--> MCP3
     
    AgentService -- "chat-completion" <--> OpenAIService
    
    OpenAIService <--> OpenAI
    
    MCP1 <--> LocalStack
    MCP2 <--> PostgreSQL
    MCP3 <--> PGVector
    
    %% Data flow
    class User,Frontend client
    class NestJS,ChatService,AgentService,ToolAgentService,RagService,OpenAIService api
    class MCP1,MCP2,MCP3 tools
    class LocalStack,PostgreSQL storage
    class OpenAI external

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.