MCPAtlas

MCP Server for the CNCF Landscape — Query, compare, and contribute to 2,400+ cloud-native projects from any AI assistant.

An open-source Model Context Protocol server that makes the entire CNCF Landscape available to AI tools like Claude, Cursor, VS Code Copilot, and custom agents. Paste a GitHub issue URL and get a compact resolution brief — resolve CNCF issues with AI in fewer turns and fewer tokens.

Install	Command
Docker	`docker run -p 3000:3000 ghcr.io/aryasoni98/mcpatlas:latest`
Homebrew	`brew tap aryasoni98/mcpatlas && brew install mcp-atlas`
From source	`git clone https://github.com/aryasoni98/mcpatlas.git && cd mcpatlas && cargo build --release`

Architecture at a glance

Data flows from the landscape into the MCP server; tools, resources, and prompts expose it to AI clients.

flowchart LR
  subgraph sources[" "]
    L[("CNCF Landscape")]
    G[(GitHub API)]
  end
  subgraph server["mcp-atlas"]
    C[core]
    S[search]
    K[graph]
    C --- S
    C --- K
  end
  subgraph clients[" "]
    Claude[Claude]
    Cursor[Cursor]
    VSC[VS Code]
    Custom[Custom agents]
  end
  L --> C
  G -.-> C
  C --> Claude & Cursor & VSC & Custom

  classDef source fill:#4ECDC4,stroke:#2C8B82,color:#fff
  classDef serverNode fill:#556270,stroke:#3D4A59,color:#fff
  classDef client fill:#E94B3C,stroke:#C23A2E,color:#fff
  class L,G source
  class C,S,K serverNode
  class Claude,Cursor,VSC,Custom client

How projects connect in the knowledge graph (alternatives, integrations, components):

flowchart TB
  subgraph kg["Knowledge graph"]
    K8s[Kubernetes]
    Istio[Istio]
    Linkerd[Linkerd]
    Prom[Prometheus]
    K8s --- Istio
    K8s --- Linkerd
    Istio --- Prom
    Linkerd --- Prom
  end
  Tools["get_relationships\nfind_path\nsuggest_stack"]
  kg <--> Tools

  classDef k8s fill:#326CE5,stroke:#1E4AB8,color:#fff
  classDef mesh fill:#466BB0,stroke:#2D4580,color:#fff
  classDef monitor fill:#E6522C,stroke:#C24120,color:#fff
  classDef tools fill:#F7B731,stroke:#D49B1A,color:#1a1a1a
  class K8s k8s
  class Istio,Linkerd mesh
  class Prom monitor
  class Tools tools

Features

MCP Tools (15)

Tool	Description
`search_projects`	Full-text search across all CNCF projects by keyword, category, or maturity
`get_project`	Get detailed info for any project (description, GitHub metrics, maturity, links)
`compare_projects`	Side-by-side comparison table of multiple projects
`list_categories`	Browse all landscape categories and subcategories
`get_stats`	Overall landscape statistics
`find_alternatives`	Find alternative projects in the same subcategory
`get_health_score`	Compute project health from GitHub metrics
`suggest_stack`	Recommend a cloud-native stack for a given use case
`analyze_trends`	Adoption trends per category (maturity, stars, languages)
`get_relationships`	Knowledge graph: alternatives, integrations, components
`find_path`	Find the shortest relationship path between two projects
`get_graph_stats`	Knowledge graph statistics
`get_good_first_issues`	List projects good for contributors (filter by language/category)
`get_migration_path`	Migration guide from one project to another
`get_issue_context`	Fetch structured context for a GitHub issue — compact brief for AI-assisted resolution

MCP Resources

cncf://landscape/overview — High-level landscape statistics
cncf://categories/all — All categories and subcategories
cncf://projects/{name} — Dynamic project details (via resource templates)

MCP Prompts (4)

evaluate_tool — Deep evaluation of a CNCF tool for your use case
plan_migration — Migration plan from one project to another
review_stack — Review a cloud-native architecture stack
onboard_contributor — Get started contributing to a CNCF project

Other Capabilities

Auto-completion — Project names, categories, maturity levels, relation types
Knowledge graph — Auto-inferred relationships + 130 curated CNCF integration edges
Data caching — Local JSON cache with configurable TTL (default 24h)
Rate limiting — Configurable concurrency limit for HTTP transport
Triple transport — STDIO (Content-Length framing), HTTP/SSE, and Streamable HTTP (MCP 2025-03-26)
Session management — Mcp-Session-Id header for Streamable HTTP sessions
CORS — Browser-friendly cross-origin support for all HTTP endpoints
Graceful shutdown — Clean SIGTERM/SIGINT handling
JSON-RPC batching — Full batch request support per JSON-RPC 2.0 spec §6
Logging — MCP logging/setLevel for client-controlled log levels
Prometheus metrics — /metrics endpoint with project counts, request stats, uptime
Pagination — Offset-based pagination for search results with _meta response
Request cancellation — notifications/cancelled with in-flight request tracking
Content-Type validation — 415 Unsupported Media Type for non-JSON POST requests
Structured errors — JSON-RPC error data field with tool name in tool call failures
Audit logging — One JSON line per tool call to stderr: event, tool, params_hash, status, latency_ms (no PII)

Quick Start

From Source

# Clone and build
git clone https://github.com/aryasoni98/mcpatlas.git
cd mcpatlas
cargo build --release

# Run with STDIO transport (for Claude Desktop / Claude Code)
./target/release/mcp-atlas --transport stdio --skip-github

# Run with HTTP transport (for remote clients)
./target/release/mcp-atlas --transport sse --port 3000

# With GitHub enrichment (set token for higher rate limits)
export GITHUB_TOKEN=ghp_...
./target/release/mcp-atlas --transport stdio

Docker

# Quick run (linux/amd64, linux/arm64)
docker run -p 3000:3000 ghcr.io/aryasoni98/mcpatlas:latest

# With docker-compose (includes health checks and persistent cache)
cd deploy/docker
docker compose up -d

Homebrew

brew tap aryasoni98/mcpatlas
brew install mcp-atlas

CLI Tool

# Sync landscape data locally
cargo run -p mcp-atlas-cli -- sync --skip-github

# Search projects
cargo run -p mcp-atlas-cli -- search "service mesh" --data data/landscape.yml

# Inspect a project
cargo run -p mcp-atlas-cli -- inspect Kubernetes --data data/landscape.yml

# Show statistics
cargo run -p mcp-atlas-cli -- stats --data data/landscape.yml

# Show project relationships
cargo run -p mcp-atlas-cli -- graph Kubernetes --data data/landscape.yml

# Validate landscape file
cargo run -p mcp-atlas-cli -- validate data/landscape.yml

Connect to AI Tools

Claude Desktop / Claude Code

Add to your MCP settings (~/.claude/settings.json or Claude Desktop config):

{
  "mcpServers": {
    "cncf-landscape": {
      "command": "mcp-atlas",
      "args": ["--transport", "stdio", "--skip-github"]
    }
  }
}

Cursor / VS Code

{
  "mcp.servers": {
    "cncf-landscape": {
      "url": "http://localhost:3000/mcp"
    }
  }
}

Streamable HTTP (MCP 2025-03-26)

For clients supporting the latest MCP spec:

# Initialize a session
curl -X POST http://localhost:3000/mcp/stream \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'
# Returns Mcp-Session-Id header — include it in subsequent requests

# Use the session
curl -X POST http://localhost:3000/mcp/stream \
  -H "Content-Type: application/json" \
  -H "Mcp-Session-Id: <session-id>" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

# SSE streaming (set Accept: text/event-stream)
# DELETE /mcp/stream to terminate a session

Configuration

Flag	Env Var	Default	Description
`--transport`		`stdio`	Transport: `stdio` or `sse`
`--port`		`3000`	Port for SSE transport
`--github-token`	`GITHUB_TOKEN`		GitHub PAT for API enrichment
`--landscape-file`	`CNCF_LANDSCAPE_FILE`		Local landscape.yml path
`--skip-github`		`false`	Skip GitHub metrics enrichment
`--cache-dir`	`MCP_ATLAS_CACHE_DIR`	`~/.cache/mcp-atlas`	Cache directory
`--max-cache-age`		`86400`	Cache TTL in seconds
`--rate-limit`		`50`	Max concurrent HTTP requests
`--graph-backend`	`MCP_ATLAS_GRAPH_BACKEND`	`mem`	Graph backend: `mem` or `surrealdb`
`--artifact-hub`	`MCP_ATLAS_ARTIFACT_HUB`	`false`	Enable Artifact Hub Helm package integration
`--qdrant-url`	`MCP_ATLAS_QDRANT_URL`		Qdrant URL for vector search (enables hybrid search)
`--summary-enabled`	`MCP_ATLAS_SUMMARY_ENABLED`	`false`	Enable LLM summaries for projects

Architecture

mcp-atlas/
├── crates/
│   ├── mcp-atlas-core/      # MCP server, tool handlers, transport
│   ├── mcp-atlas-data/      # Data models, YAML parser, GitHub API, cache
│   ├── mcp-atlas-search/    # Tantivy full-text search index + benchmarks
│   ├── mcp-atlas-graph/     # Knowledge graph engine (relationship inference)
│   ├── mcp-atlas-vector/    # Qdrant + embeddings, hybrid BM25 + vector search
│   ├── mcp-atlas-plugins/   # WASM plugin system (Phase 3)
│   └── mcp-atlas-cli/       # CLI companion tool (9 commands)
├── deploy/
│   └── docker/              # Dockerfile + docker-compose.yml
└── .github/workflows/       # CI + automated data sync

Development

cargo test --workspace        # Run all tests
cargo clippy --workspace      # Lint
cargo fmt --all               # Format
cargo bench -p mcp-atlas-search # Run search benchmarks

# Dev run with local data
cargo run -p mcp-atlas-cli -- sync --skip-github
cargo run -p mcp-atlas-core -- --transport stdio --landscape-file data/landscape.yml --skip-github

Documentation

The project site (landing page and in-app docs) is built and deployed via GitHub Actions (see .github/workflows/pages.yml). When GitHub Pages is enabled (Settings → Pages → Source: GitHub Actions), the landing is at /, the in-app docs at /docs, and the mdBook (full user guide) at /book. The site can also be deployed to Vercel (set root to site; vercel.json is included). Documentation lives in the Vite app at /docs (markdown in site/src/content/docs/) and in the mdBook at docs/book/ (Getting Started, Configuration, Tools Reference, Resources, Deployment, Plugin Development, Contributing). To build the landing locally, see site/README.md. To build the book: mdbook build docs/book (output in docs/book/build/).

Before a release, run ./scripts/verify-release.sh from the repo root to verify the site build.

See also CONTRIBUTING.md, GOVERNANCE.md, SECURITY.md, ROADMAP.md, and CODE_OF_CONDUCT.md.

Reporting usage

If you use MCPAtlas in production or for significant non-production use, we’d love to hear from you:

Adopters: Add your organization to ADOPTERS.md via a pull request (name + one-line use case).
Metrics: The server exposes Prometheus metrics at GET /metrics (request count, latency, tool usage). You can scrape this endpoint for your own dashboards; we do not collect usage data centrally.
Feedback: Open a GitHub Discussion for questions, ideas, or success stories.

License

Apache-2.0

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Repository files navigation

MCPAtlas

Architecture at a glance

Features

MCP Tools (15)

MCP Resources

MCP Prompts (4)

Other Capabilities

Quick Start

From Source

Docker

Homebrew

CLI Tool

Connect to AI Tools

Claude Desktop / Claude Code

Cursor / VS Code

Streamable HTTP (MCP 2025-03-26)

Configuration

Architecture

Development

Documentation

Reporting usage

License

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Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
.cursor		.cursor
.github		.github
crates		crates
deploy		deploy
docs		docs
scripts		scripts
site		site
.gitignore		.gitignore
ADOPTERS.md		ADOPTERS.md
CHANGELOG.md		CHANGELOG.md
CLAUDE.md		CLAUDE.md
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
Cargo.toml		Cargo.toml
GOVERNANCE.md		GOVERNANCE.md
LICENSE		LICENSE
MAINTAINERS.md		MAINTAINERS.md
MAKEFILE.md		MAKEFILE.md
Makefile		Makefile
README.md		README.md
ROADMAP.md		ROADMAP.md
SECURITY.md		SECURITY.md
deny.toml		deny.toml

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MCPAtlas

Architecture at a glance

Features

MCP Tools (15)

MCP Resources

MCP Prompts (4)

Other Capabilities

Quick Start

From Source

Docker

Homebrew

CLI Tool

Connect to AI Tools

Claude Desktop / Claude Code

Cursor / VS Code

Streamable HTTP (MCP 2025-03-26)

Configuration

Architecture

Development

Documentation

Reporting usage

License

About

Resources

License

Code of conduct

Contributing

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Stars

Watchers

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Releases 1

Sponsor this project

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