MCP Manager

Name: MCP Manager
Author: DMaxter

@DMaxter

代码仓库

关于 MCP Manager

A tool that allows calling different AI models with multiple sets of MCP servers

基本信息

分类

其他

许可证

GPL-3.0 license

运行时

rust

传输方式

stdio

发布者

DMaxter

配置

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概览

What is MCP Manager?

MCP Manager acts as a bridge between Large Language Models (LLMs) and MCP servers, enabling natural language interaction with remote and local APIs via supported chat completion APIs. Workspaces allow distinct configurations for different LLM endpoints and MCP servers using a single instance.

How to use MCP Manager?

Download the appropriate release binary for your operating system. Configure via a YAML file (default config.yaml; path can be overridden with MCP_MANAGER_CONFIG environment variable). Start the server with mcp-manager and send prompts via HTTP calls to the exposed API.

Key features of MCP Manager

Integrates with Gemini and Azure OpenAI LLMs
Enables LLM interaction with MCP servers
Flexible workspace configuration via a single YAML file
Supports API Key authentication (OAuth 2.0 planned)
Exposes a simple HTTP API in OpenAI format

Use cases of MCP Manager

Interacting with local file systems or APIs using natural language prompts
Managing multiple MCP server connections with distinct LLM endpoints
Querying or modifying systems via an LLM’s tool‑calling capabilities

FAQ from MCP Manager

Which LLM providers are supported?

Gemini and Azure OpenAI are currently supported. Claude and OpenAI integration are planned.

How does authentication work?

Only API Key authentication is currently supported, configured within the model settings. OAuth 2.0 support is planned.

Where is the configuration stored and how can I customise it?

Configuration is managed through a YAML file, defaulting to config.yaml in the runtime directory. The path can be overridden by setting the MCP_MANAGER_CONFIG environment variable.