A MCP‑like server using the DeepSeek API for Terminal
A MCP‑like server using the DeepSeek API for Terminal
This project is an MCP‑like server using the DeepSeek API. It aims to demonstrate the core concepts behind the Model Context Protocol (MCP) by exposing endpoints that allow AI assistants to:
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| Variable | Description | Required |
|---|---|---|
| DEEPSEEK_API_KEY | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
MCP server for AgentChat - real-time AI agent communication
Slop or Not exposes text scoring, readability, cleanup and image-scoring tools from its installed Mac application over stdio.
MCP (Model Context Protocol) servers are designed to process structured requests from AI agents, perform domain-specific operations, and return
Connect an AI coding assistant to SignalEDI to discover, scaffold, validate, and test X12 integrations. The MCP server is an AI-native developer experience over the same public guidance and /api/v1…