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MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
io.github.giancarloerra/socraticode 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 78/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 io.github.giancarloerra/socraticode 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
npx -y socraticode@1.16.1运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-15T22:24:03.41597Z",
"publishedAt": "2026-10-15T22:24:03.41597Z",
"statusChangedAt": "2026-10-15T22:24:03.41597Z"
}
},
"server": {
"name": "io.github.giancarloerra/socraticode",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.16.1",
"packages": [
{
"version": "1.16.1",
"transport": {
"type": "stdio"
},
"identifier": "socraticode",
"registryType": "npm",
"environmentVariables": [
{
"name": "EMBEDDING_PROVIDER",
"format": "string",
"description": "Embedding provider to use: ollama (default), openai, google, lmstudio, or litellm"
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for OpenAI embeddings (required only when EMBEDDING_PROVIDER=openai)"
},
{
"name": "GOOGLE_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for Google embeddings (required only when EMBEDDING_PROVIDER=google)"
},
{
"name": "OLLAMA_URL",
"format": "string",
"description": "URL of the Ollama server (default: auto-detected; Docker-managed or http://localhost:11434)"
},
{
"name": "EMBEDDING_MODEL",
"format": "string",
"description": "Embedding model name (defaults per provider; required for lmstudio and litellm)"
},
{
"name": "EMBEDDING_DIMENSIONS",
"format": "string",
"description": "Embedding vector dimensions (defaults per provider; required for lmstudio and litellm)"
},
{
"name": "OLLAMA_MODE",
"format": "string",
"description": "Ollama mode: auto (default), docker, or external"
},
{
"name": "OLLAMA_API_KEY",
"format": "string",
"isSecret": true,
"description": "Optional API key for authenticated Ollama proxies"
},
{
"name": "LMSTUDIO_URL",
"format": "string",
"description": "LM Studio OpenAI-compatible base URL (default: http://localhost:1234/v1)"
},
{
"name": "LMSTUDIO_API_KEY",
"format": "string",
"isSecret": true,
"description": "Optional API key when LM Studio authentication is enabled"
},
{
"name": "LMSTUDIO_ALLOW_MISSING_MODEL_LISTING",
"format": "string",
"description": "Allow compatible embedding servers without a models endpoint to be probed directly"
},
{
"name": "LITELLM_URL",
"format": "string",
"description": "LiteLLM OpenAI-compatible base URL (default: http://localhost:4000/v1)"
},
{
"name": "LITELLM_API_KEY",
"format": "string",
"isSecret": true,
"description": "LiteLLM master or virtual API key (required when EMBEDDING_PROVIDER=litellm)"
},
{
"name": "LITELLM_SEND_DIMENSIONS",
"format": "string",
"description": "Forward the dimensions parameter through LiteLLM when explicitly enabled"
},
{
"name": "QDRANT_MODE",
"format": "string",
"description": "Qdrant mode: managed (default, Docker-managed) or external (user-provided instance)"
},
{
"name": "QDRANT_URL",
"format": "string",
"description": "Full URL for remote/cloud Qdrant (e.g. https://xyz.cloud.qdrant.io:6333). Only needed when QDRANT_MODE=external"
},
{
"name": "QDRANT_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for remote Qdrant instance. Only needed when QDRANT_MODE=external"
}
]
}
],
"repository": {
"url": "https://github.com/giancarloerra/socraticode",
"source": "github"
},
"description": "MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs."
}
}