Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
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_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"socraticode": {
"command": "npx",
"args": [
"-y",
"socraticode"
],
"env": {
"EMBEDDING_PROVIDER": "your-value",
"OPENAI_API_KEY": "your-value",
"GOOGLE_API_KEY": "your-value",
"OLLAMA_URL": "your-value",
"EMBEDDING_MODEL": "your-value",
"EMBEDDING_DIMENSIONS": "your-value",
"OLLAMA_MODE": "your-value",
"OLLAMA_API_KEY": "your-value",
"LMSTUDIO_URL": "your-value",
"LMSTUDIO_API_KEY": "your-value",
"LMSTUDIO_ALLOW_MISSING_MODEL_LISTING": "your-value",
"LITELLM_URL": "your-value",
"LITELLM_API_KEY": "your-value",
"LITELLM_SEND_DIMENSIONS": "your-value",
"QDRANT_MODE": "your-value",
"QDRANT_URL": "your-value",
"QDRANT_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add socraticode --env EMBEDDING_PROVIDER=your-value --env OPENAI_API_KEY=your-value --env GOOGLE_API_KEY=your-value --env OLLAMA_URL=your-value --env EMBEDDING_MODEL=your-value --env EMBEDDING_DIMENSIONS=your-value --env OLLAMA_MODE=your-value --env OLLAMA_API_KEY=your-value --env LMSTUDIO_URL=your-value --env LMSTUDIO_API_KEY=your-value --env LMSTUDIO_ALLOW_MISSING_MODEL_LISTING=your-value --env LITELLM_URL=your-value --env LITELLM_API_KEY=your-value --env LITELLM_SEND_DIMENSIONS=your-value --env QDRANT_MODE=your-value --env QDRANT_URL=your-value --env QDRANT_API_KEY=your-value -- npx -y socraticodeCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"socraticode": {
"command": "npx",
"args": [
"-y",
"socraticode"
],
"env": {
"EMBEDDING_PROVIDER": "your-value",
"OPENAI_API_KEY": "your-value",
"GOOGLE_API_KEY": "your-value",
"OLLAMA_URL": "your-value",
"EMBEDDING_MODEL": "your-value",
"EMBEDDING_DIMENSIONS": "your-value",
"OLLAMA_MODE": "your-value",
"OLLAMA_API_KEY": "your-value",
"LMSTUDIO_URL": "your-value",
"LMSTUDIO_API_KEY": "your-value",
"LMSTUDIO_ALLOW_MISSING_MODEL_LISTING": "your-value",
"LITELLM_URL": "your-value",
"LITELLM_API_KEY": "your-value",
"LITELLM_SEND_DIMENSIONS": "your-value",
"QDRANT_MODE": "your-value",
"QDRANT_URL": "your-value",
"QDRANT_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"socraticode": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"socraticode"
],
"env": {
"EMBEDDING_PROVIDER": "your-value",
"OPENAI_API_KEY": "your-value",
"GOOGLE_API_KEY": "your-value",
"OLLAMA_URL": "your-value",
"EMBEDDING_MODEL": "your-value",
"EMBEDDING_DIMENSIONS": "your-value",
"OLLAMA_MODE": "your-value",
"OLLAMA_API_KEY": "your-value",
"LMSTUDIO_URL": "your-value",
"LMSTUDIO_API_KEY": "your-value",
"LMSTUDIO_ALLOW_MISSING_MODEL_LISTING": "your-value",
"LITELLM_URL": "your-value",
"LITELLM_API_KEY": "your-value",
"LITELLM_SEND_DIMENSIONS": "your-value",
"QDRANT_MODE": "your-value",
"QDRANT_URL": "your-value",
"QDRANT_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
EMBEDDING_PROVIDER envOLLAMA_URL envEMBEDDING_MODEL envEMBEDDING_DIMENSIONS envOLLAMA_MODE envLMSTUDIO_URL envLMSTUDIO_ALLOW_MISSING_MODEL_LISTING envLITELLM_URL envLITELLM_SEND_DIMENSIONS envQDRANT_MODE envQDRANT_URL envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub giancarloerra, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: OPENAI_API_KEY, GOOGLE_API_KEY, OLLAMA_API_KEY, LMSTUDIO_API_KEY, LITELLM_API_KEY, QDRANT_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.16.2) llegó al registro ayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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*"There is only one good, knowledge, and one evil, ignorance."* — Socrates
Your AI reads code. SocratiCode understands it.
The open-source codebase context engine: give any AI instant automated knowledge of your entire codebase (and infrastructure) — at scale, zero configuration, fully private, completely free.
Kindly sponsored by Altaire Limited
🛡️ Need MCP governance together with codebase context? See our sibling project JanuScope — the local-first MCP policy proxy: tool blocking, SQL-mutation gate, PII redaction, audit, rate-limit.
If SocratiCode has been useful to you, please ⭐ star this repo — it helps others discover it — and share it with your dev team and fellow developers!
💬 Questions or just want to chat? Join us on Discord.
☁️ SocratiCode Cloud (private beta) — Hosted, shared team index built on the same engine as the open-source version, plus SSO, audit logs, branch-aware indexing, and VPC / air-gapped deployment options. The open-source core remains free forever. Request early access →
One thing, done well: deep codebase intelligence with zero setup, no bloat, and full automation. SocratiCode gives AI assistants deep semantic understanding of your codebase: hybrid search, cross-project search, polyglot code dependency graphs, symbol-level impact analysis and flow, interactive HTML graph explorer for visual navigation, and searchable context artifacts (database schemas, API specs, infra configs, architecture docs). Zero configuration: add it to an MCP host that supports local stdio servers, or use a supported plugin or extension. It manages everything automatically.
Production-ready, battle-tested on enterprise-level large repositories (up to and over ~40 million lines of code). Batched, automatic resumable indexing checkpoints progress — pauses, crashes, restarts, and interruptions don't lose work. The file watcher keeps the index automatically updated at every file change and across sessions. Multi-branch, multi-repo and multi-agent ready — multiple AI agents can work on the same codebase simultaneously, sharing a single index with automatic coordination and zero configuration.
Private and local by default — Docker handles everything, no API keys required, no data leaves your machine. Cloud ready for embeddings (OpenAI, Google Gemini) and Qdrant, and a full suite of configuration options are all available when you need them.
Code intelligence that belongs to you, AI and host agnostic — your codebase's understanding lives with the code, not locked to any one assistant, IDE or model. And because SocratiCode pre-computes the hard parts (blast radius, call-flow, dependency traversal), smaller models can handle architectural complex tasks that would otherwise need top-tier reasoning, saving even more on token cost.
The first Qdrant‑based MCP/Claude Plugin/Skill that pairs auto‑managed, zero‑config local Docker deployment with AST‑aware code chunking, hybrid semantic + BM25 (RRF‑fused) code search, polyglot dependency graphs with circular‑dependency visualisation, symbol‑level Impact Analysis (blast‑radius & call‑flow tracing across 18 languages), and searchable infra/API/database artifacts in a single focused, zero-config and easy to use code intelligence engine.
Benchmarked on VS Code (2.45M lines): SocratiCode uses 61% less context, 84% fewer tool calls, and is 37x faster than grep‑based exploration — tested live with Claude Opus 4.6. See the full benchmark →
Requirements: Node.js 18.17 or newer with
npxonPATH, plus Docker running for the default local Qdrant and Ollama stack.
For one recommended setup path per host and short practical scenarios, use the quick guides. This README has the other installation paths and full configuration.
Quick install guidance for Claude Code, VS Code, and Cursor:
MCP hosts with a JSON `mcpServers` object can use this complete configuration:
{
"mcpServers": { "socraticode": { "command": "npx", "args": ["-y", "--prefer-online", "socraticode@latest"] } } }
Configuration schemas are host-specific. Continue, VS Code, Zed, OpenCode, Gemini CLI, and Cline have dedicated examples in Plugins and host integrations.
SocratiCode has two independent update paths. The MCP engine is the socraticode package published to npm. Every npm-backed configuration below uses npx -y --prefer-online socraticode@latest, which checks npm for the current latest release whenever the MCP server starts. A running server cannot replace itself, and a newly published version can only be downloaded while the npm registry is reachable, so restart or reconnect the server after a release.
Native plugins and extensions also contain skills, instructions, manifests, or UI files. Update those through the host as shown below, then start a new session so the new plugin files load. Direct MCP installations contain only the engine and do not install SocratiCode's plugin skills.
| Integration | Update plugin, skills, and integration files |
|---|---|
| Claude Code plugin | Enable marketplace auto-update, or run claude plugin marketplace update socraticode followed by claude plugin update --scope user socraticode@socraticode |
| OpenAI Codex plugin | Run codex plugin marketplace upgrade socraticode, then codex plugin add socraticode@socraticode and start a new task |
| VS Code Agent Plugin | Leave extensions.autoUpdate enabled for daily checks, or run Extensions: Check for Extension Updates, then start a new Chat |
| VS Code editor extension | Update it through the Extensions view or Extensions: Check for Extension Updates, then reload the window |
| Cursor local plugin | Update to the latest GitHub release tag using the commands in the Cursor section, then reload Cursor |
| Gemini CLI direct MCP | Restart Gemini to reconnect the server and resolve the current npm release |
| Direct MCP only | No separate plugin files are installed; restart or reconnect the MCP server to resolve the current npm release |
@latest refers to npm's published latest distribution tag; it does not refer to a Git branch. --prefer-online forces npm to check for updated package metadata even when its cache is still fresh. If the same registry is temporarily unavailable, npm can still use an already populated cache; a first installation still requires registry access. See the [npm exec cache documentation](https://docs.npmjs.com
Solo se muestra el principio; lee el resto en el repo