Socraticode
io.github.giancarloerra
MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
Power your agent
यह सर्वर जोड़ें
पब्लिशर की अपनी कमांड। PlugMCP एंडपॉइंट नहीं।
Host a copy with our keys and logs.
लोकल कमांड
npx -y [email protected]पब्लिशर से मिले क्रेडेंशियल
- EMBEDDING_PROVIDER — Embedding provider to use: ollama (default), openai, google, lmstudio, or litellm
- OPENAI_API_KEY — API key for OpenAI embeddings (required only when EMBEDDING_PROVIDER=openai)
- GOOGLE_API_KEY — API key for Google embeddings (required only when EMBEDDING_PROVIDER=google)
- OLLAMA_URL — URL of the Ollama server (default: auto-detected; Docker-managed or http://localhost:11434)
- EMBEDDING_MODEL — Embedding model name (defaults per provider; required for lmstudio and litellm)
- EMBEDDING_DIMENSIONS — Embedding vector dimensions (defaults per provider; required for lmstudio and litellm)
- OLLAMA_MODE — Ollama mode: auto (default), docker, or external
- OLLAMA_API_KEY — Optional API key for authenticated Ollama proxies. Remote endpoints require HTTPS; loopback HTTP is supported.
- LMSTUDIO_URL — LM Studio OpenAI-compatible base URL (default: http://localhost:1234/v1)
- LMSTUDIO_API_KEY — Optional API key when LM Studio authentication is enabled
- LMSTUDIO_ALLOW_MISSING_MODEL_LISTING — Allow compatible embedding servers without a models endpoint to be probed directly
- LITELLM_URL — LiteLLM OpenAI-compatible base URL (default: http://localhost:4000/v1)
- LITELLM_API_KEY — LiteLLM master or virtual API key (required when EMBEDDING_PROVIDER=litellm)
- LITELLM_SEND_DIMENSIONS — Forward the dimensions parameter through LiteLLM when explicitly enabled
- QDRANT_MODE — Qdrant mode: managed (default, Docker-managed) or external (user-provided instance)
- QDRANT_URL — Full URL for remote/cloud Qdrant (e.g. https://xyz.cloud.qdrant.io:6333). Only needed when QDRANT_MODE=external
- QDRANT_API_KEY — API key for remote Qdrant instance. Only needed when QDRANT_MODE=external
Claude Code में लोकल कमांड के लिए इंस्टॉल लिंक नहीं है। नीचे दी गई कमांड कॉपी करें और टर्मिनल में चलाएँ।
shClaude Code
EMBEDDING_PROVIDER=<value> OPENAI_API_KEY=<secret> GOOGLE_API_KEY=<secret> OLLAMA_URL=<value> EMBEDDING_MODEL=<value> EMBEDDING_DIMENSIONS=<value> OLLAMA_MODE=<value> OLLAMA_API_KEY=<secret> LMSTUDIO_URL=<value> LMSTUDIO_API_KEY=<secret> LMSTUDIO_ALLOW_MISSING_MODEL_LISTING=<value> LITELLM_URL=<value> LITELLM_API_KEY=<secret> LITELLM_SEND_DIMENSIONS=<value> QDRANT_MODE=<value> QDRANT_URL=<value> QDRANT_API_KEY=<secret> claude mcp add io.github.giancarloerra-socraticode -- npx -y socraticode@1.16.2टर्मिनल में चलाएँ।
jsonClaude Desktop
{ "mcpServers": { "io.github.giancarloerra-socraticode": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "EMBEDDING_PROVIDER": "<value>", "OPENAI_API_KEY": "<secret>", "GOOGLE_API_KEY": "<secret>", "OLLAMA_URL": "<value>", "EMBEDDING_MODEL": "<value>", "EMBEDDING_DIMENSIONS": "<value>", "OLLAMA_MODE": "<value>", "OLLAMA_API_KEY": "<secret>", "LMSTUDIO_URL": "<value>", "LMSTUDIO_API_KEY": "<secret>", "LMSTUDIO_ALLOW_MISSING_MODEL_LISTING": "<value>", "LITELLM_URL": "<value>", "LITELLM_API_KEY": "<secret>", "LITELLM_SEND_DIMENSIONS": "<value>", "QDRANT_MODE": "<value>", "QDRANT_URL": "<value>", "QDRANT_API_KEY": "<secret>" } } }}claude_desktop_config.json
लोकल · npmपब्लिशर इंस्टॉलचरण-दर-चरण: इसे Claude में जोड़ें
रिमोट URL या आपकी मशीन पर कमांड? दोनों इंस्टॉल में क्या अंतर है
PlugMCP पर चलाएँ
Host a copy with our keys and logs.
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
लॉन्चसर्वर की जानकारी
लोकल- ट्रांसपोर्ट
- stdio
- वर्शन
- 1.16.2
- API key
- EMBEDDING_PROVIDER, OPENAI_API_KEY, GOOGLE_API_KEY, OLLAMA_URL, EMBEDDING_MODEL, EMBEDDING_DIMENSIONS, OLLAMA_MODE, OLLAMA_API_KEY, LMSTUDIO_URL, LMSTUDIO_API_KEY, LMSTUDIO_ALLOW_MISSING_MODEL_LISTING, LITELLM_URL, LITELLM_API_KEY, LITELLM_SEND_DIMENSIONS, QDRANT_MODE, QDRANT_URL, QDRANT_API_KEY
पब्लिशर से
डॉक्यूमेंटेशन
README अभी क्रॉल नहीं हुआ है। रिपॉज़िटरी खोलें
MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
