Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your 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 socraticodeFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
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 envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account giancarloerra, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: OPENAI_API_KEY, GOOGLE_API_KEY, OLLAMA_API_KEY, LMSTUDIO_API_KEY, LITELLM_API_KEY, QDRANT_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.16.2) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
= 18.17">
*"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
Only the beginning is shown; read the rest in the repo