atlas-mcp
Click on "Deploy 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., "@atlas-mcpsearch my project docs for deployment guide"
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.
atlas-mcp
Connect any AI coding agent (Cursor, Claude Code, Windsurf, VS Code/Copilot, Cline…) to your team's Atlas knowledge hub. The agent pulls your approved prompts, docs and scoped secrets as context — and Atlas passively captures what the AI builds, so the team can see it without anyone using Jira.
Install globally (once per machine)
bun install -g github:TheDivyanshShukla/atlas-mcp#main
# or: npm install -g github:TheDivyanshShukla/atlas-mcp#mainThis puts atlas on your PATH — repo setup, hooks, and the stdio MCP server IDEs spawn.
Related MCP server: ContextAtlas
Update to latest
atlas update
# or without a prior global install:
npx -y github:TheDivyanshShukla/atlas-mcp#main updatePulls the latest commit from GitHub main (IDE npx configs from atlas install already use #main).
One-command setup
# in your repo root — uses folder name as project; creates if missing
atlas .
# or pin a specific Atlas project by name:
atlas . --project ConferenceRequires ATLAS_MCP_KEY in your environment (or pass --key). If the project exists, you get linked immediately; if not, Atlas asks to create it.
Then create an MCP key in Atlas → Settings → API keys → MCP key (pick toolsets, read-only, expiry), and export it:
export ATLAS_MCP_KEY=atlas_mcp_xxxxxxxx # add to your shell profile
export ATLAS_BASE_URL=https://atlas.naravirtual.inClaude Code only — capture every prompt + session automatically (zero agent cooperation):
atlas hooks installWhat it exposes (scope-gated — tools you can't use are hidden)
context:
atlas_browse,atlas_read,atlas_search,atlas_context,atlas_get_secret.write:
atlas_write(replace/append/delete; stdio supportslocalPath).capture:
atlas_log_work(records summary + prompt + changed files),atlas_save_prompt.tasks:
atlas_list_tasks,atlas_create_task.
How it works
A thin, cached client over the Atlas REST API. Reads are served from a local cache
(~/.atlas/cache, stale-while-revalidate) so they're instant and work offline; writes queue and flush
when the network returns. All auth, fine-grained scopes and audit are enforced server-side.
The .atlas file binds the repo to an Atlas project and selects toolsets:
{ "project": "general", "autoCapture": true, "toolsets": ["context","capture","tasks"], "readOnly": false }The key (secret) is never in .atlas — it lives in your IDE env / shell profile.
Agent transport options
Repo: https://github.com/TheDivyanshShukla/atlas-mcp
Remote (zero local install beyond the key) — point any client at the hosted server:
claude mcp add --transport http atlas https://atlas.naravirtual.in/api/mcp --header "Authorization: Bearer $ATLAS_MCP_KEY"Or for Cursor/Windsurf/VS Code, paste the remote config (see Atlas → Connect agent for your exact snippet).
Local (repo-aware, recommended for capture) — stdio via globally installed atlas (reads .atlas, offline cache):
atlas . # set up a repo
# agents are configured to run: atlasAuth is read from ATLAS_MCP_KEY (set once in your shell profile). Default endpoint is
https://atlas.naravirtual.in; override with ATLAS_BASE_URL.
This server cannot be deployed
Maintenance
Related MCP Connectors
Shared memory for coding agents. Stop re-explaining your codebase every session.
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Codebase graphs, caller impact analysis, and recorded project context for AI coding agents.
Shared task board and knowledge base for AI coding agents
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceProvides AI coding agents with persistent, graph-connected memory across projects, enabling cross-project context retrieval via synaptic connections and hybrid search.6 npm8MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to retrieve and manage code context with hybrid search, project memory, and observability via MCP tools.29MIT
- AlicenseNot gradedqualityFmaintenanceConnects AI assistants like Claude Code and Codex to a team's shared knowledge graph for searching, storing, and managing documents.5 npmMIT
- AlicenseNot gradedqualityAmaintenanceProvides AI coding agents with an embedded knowledge graph and architecture governance tools, enabling blast radius analysis, compliance checks, and smart context extraction from codebases.Apache 2.0