MCP Long Context Reader
by yuplin2333
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_LLM_MODEL | No | LLM model name (e.g., gpt-4o for OpenAI, qwen-max for DashScope). | |
| OPENAI_API_KEY | No | OpenAI API key (required if MCP_API_PROVIDER is 'openai'). | |
| MCP_API_PROVIDER | Yes | Model provider: 'openai' or 'dashscope'. | |
| DASHSCOPE_API_KEY | No | DashScope API key (required if MCP_API_PROVIDER is 'dashscope'). | |
| MCP_CACHE_DIRECTORY | Yes | Directory where cache files are stored. | |
| MCP_EMBEDDING_MODEL | No | Embedding model name (e.g., text-embedding-3-small for OpenAI, text-embedding-v3 for DashScope). | |
| OPENAI_API_BASE_URL | No | Custom OpenAI API base URL (optional). | |
| MCP_WORKSPACE_DIRECTORY | Yes | Sandboxed directory from which the server is allowed to read files. |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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