DawnMCP
OfficialDawnMCP is a privacy-conscious MCP server that provides repository intelligence and agentic coding assistance using local inference (Ollama, ChromaDB).
Repository Analysis & Indexing: analyze, scan, summarize, explain architecture and projects, and index any local repository (structure, dependencies).
Semantic Code Search & Q&A: ask natural-language questions about indexed codebases with grounded, file-and-line-cited answers; locate features and perform impact analysis.
Knowledge Graph: build and query structural graphs of files, functions, classes, and dependencies.
Long-Term Memory: save, search, update, and delete memories for user preferences, project info, technical decisions, conversations, and events.
Agentic Task Planning & Execution: decompose tasks into phases, generate code, review code, and debug issues.
Document Management: add, search, list, and delete project docs for semantic retrieval.
Privacy-Conscious: all inference and embeddings run locally; code never leaves your environment.
MCP-Native: compatible with MCP clients (Claude, Cursor) and deployable via NitroCloud.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DawnMCPWhere is the retry logic defined and how is it invoked?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
DawnMCP — Privacy-Conscious Repository Intelligence for AI Coding Assistants
DawnMCP is a deployed MCP (Model Context Protocol) server that gives AI coding assistants — Claude, Cursor, and any MCP-compatible client — deep, grounded understanding of a codebase. Model inference runs through a local, open-source stack (Ollama), so code isn't sent to third-party cloud AI APIs, even though the server itself is hosted and shareable via a live endpoint.
Built by Team Dawn of AI, SRMIST — Runner-Up, Agentic AI Hackathon 2026 (₹10L prize pool, organized by SRM School of Computing, Dept. of Computing Technologies, and NitroStack).
Overview
What it does: DawnMCP indexes a repository and answers natural-language questions with grounded, file-and-line-cited responses — not guesses. It maintains persistent semantic memory across sessions, so project context isn't lost between conversations, and its agents can plan tasks, review code, and help debug by reasoning over the actual indexed codebase.
Who it's for: Teams and researchers working with proprietary or unpublished code — students on unpublished research, companies with sensitive IP, or anyone who wants AI coding assistance without routing their code through a third-party cloud LLM.
What makes it work:
Model inference runs through a local Ollama instance (
qwen2.5-coderfor reasoning,nomic-embed-textfor embeddings), with ChromaDB for vector storage — no code sent to external AI APIs for inferenceBuilt on the open MCP standard, not a closed plugin system — works with any MCP-compatible client
Deployed on NitroCloud for a shareable, always-on endpoint
Related MCP server: LocalNest MCP
Live Demo
🚀 MCP endpoint: https://dawnmcp-6a6d98d3-dawn-of-ai-srmist.app.nitrocloud.ai
Point any MCP-compatible client at this endpoint to try it directly — no local setup required.
{
"mcpServers": {
"dawnmcp": {
"url": "https://dawnmcp-6a6d98d3-dawn-of-ai-srmist.app.nitrocloud.ai"
}
}
}Running It Yourself
Prerequisites
Node.js 18+
An MCP-compatible client (Claude Desktop, Cursor, etc.)
Setup
git clone https://github.com/dawnmcp/DawnMCP-1.git
cd DawnMCP-1
npm install
cp .env.example .env
npm run startFeatures
🔌 MCP-native — works with any MCP-compatible client
🛠️ Tools, resources & prompts — exposes structured capabilities to AI agents
🧠 Persistent memory — retains project context across sessions instead of starting fresh each time
🔐 Secure by design — secrets stay in environment variables, never in code
⚡ Deployed on Nitrostack/NitroCloud — reliable, hosted, and instantly shareable
Tech Stack
MCP (Model Context Protocol) · Ollama (qwen2.5-coder, nomic-embed-text) · ChromaDB · TypeScript · NitroStack · NitroCloud
Team
Built by Dawn of AI, SRM Institute of Science and Technology, KTR — during the Agentic AI Hackathon 2026.
License
MIT © 2026
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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