archestra
★ 4.4k
vs
mcp-stata
★ 88
archestra vs mcp-stata
archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.; mcp-stata: This MCP server enables LLMs to execute Stata code, inspect data, export graphics, and verify results. It uses the proprietary pystata module included with Stata 17+ and requires Python 3.11+. The server supports various IDEs like Claude Desktop, Cursor, and VS Code via stdio transport.
01
TL;DR
archestraObservability · ★ 4.4k
When to choose:
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
mcp-stataObservability · ★ 88
Run Stata commands for statistical analysis
02
Side-by-Side Comparison
Field
archestramcp-stataCategory
Observability
Observability
Stars
★ 4.4k
★ 88
License
AGPL-3.0 (enterprise parts under a commercial license)
AGPL-3.0
Install Command
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
uvx --refresh --refresh-package mcp-stata --from mcp-stata@latest mcp-stata
Updated
1d ago
5mo ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
ai, econometrics, economics
03
Features
archestra01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
mcp-stata01Execute Stata code
02Inspect data (dataset summaries and codebooks)
03Export graphics (histograms, scatterplots)
04Streaming graph caching
05Verify results (check stored r() and e() values)
04
Use Cases
archestra↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
mcp-stata↳Run Stata commands for statistical analysis
↳Explore and summarize datasets
↳Create and export statistical graphs
05
Best For
archestraEssentialTrending
mcp-stata—
FAQ
FAQ
What is the difference between archestra and mcp-stata?
Both archestra and mcp-stata are in the Observability category. archestra has 4.4k stars, while mcp-stata has 88 stars.
Which is better, archestra or mcp-stata?
The best choice depends on your use case. Choose archestra if Centralized orchestration and secure management of AI models and data for platform teams., and mcp-stata if Run Stata commands for statistical analysis.
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is mcp-stata free or open source?
Yes, mcp-stata is open source on GitHub (AGPL-3.0).
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