AI Workstation Open Source Intelligence MCP server

AI Open Source Intelligence

One Skill. Nine live read-only Radar tools. Evidence-backed open-source AI research without a second server-side model call.

简体中文 · Product page · AI Open Source Radar · Quickstart

AI Open Source Intelligence is the Skills/MCP product layer for AI Open Source Radar.

Production screenshot captured 2026-08-29. Rankings and project data update with Radar snapshots.

Product shape

User in ChatGPT / Codex / compatible host
                 |
                 v
      1 unified product Skill
                 |
                 v
      9 read-only MCP tools
                 |
                 v
     AI Workstation public Radar

The user does not choose separate research/comparison/stack Skills. The single Skill routes the task internally.

The host model performs natural-language reasoning and synthesis. The AI Workstation server provides data/evidence only on this product path.

One active Skill

ai-open-source-intelligence

It handles:

• browsing rankings, collections, categories, scenarios and the Radar Skills library;
• finding projects from deployment, privacy, integration, budget and license requirements;
• verifying named-project facts and license evidence;
• comparing two to five projects for a concrete use case;
• finding alternatives while preserving hard requirements;
• planning candidate open-source AI stacks and exposing unverified compatibility.

The only product Skill is packaged from:

skills/ai-open-source-intelligence/SKILL.md
skills/ai-open-source-intelligence/agents/openai.yaml

agents/openai.yaml makes the Skill's dependency on the canonical aiopensource_intelligence Hosted MCP explicit while keeping automatic invocation enabled. This is the Skill-level dependency contract; .mcp.json is the matching Plugin-level connection contract.

The previous split research/comparison/stack Skill files are removed from the current product and distribution bundle.

Nine standard MCP tools

search_ai_projects
get_project_facts
get_license_evidence
compare_ai_projects
find_alternatives
compose_ai_stack
get_radar_overview
browse_radar_projects
browse_radar_skills

All nine are read-only. They do not execute or install third-party repository code.

No AI Workstation server-model execution

This is a hard product boundary for the current release.

The Hosted MCP exposes no Premium model tool, no checkout tool and no runtime OAuth/Premium switch. Requirement-based selection calls the public Radar selector with:

use_model=false

Therefore an ordinary Skill/MCP workflow is:

ChatGPT/Codex host model
        -> chooses/read tools
        -> AI Workstation public Radar data/evidence
        -> host model synthesizes the final answer

It is not:

host model -> AI Workstation model -> second model bill

If member-linked server-model capabilities are added later, they must ship as a new reviewed product version rather than being enabled through a hidden environment variable.

Evidence model

Every tool result separates:

1. verified facts — source-backed observations that crossed the evidence boundary;
2. recommendations — host-model/rules analysis;
3. unknowns — unavailable or unverified information;
4. risks — license, maintenance, deployment, security and integration limits.

A value in data is not automatically a verified fact. License evidence is deliberately stricter and is technical evidence, not legal advice.

Shortened. The full README is on GitHub.