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OI AI Adoption MCP Server

com.operative-intelligence/ai-adoptionv0.1.0

Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT

remoteofficial registry

context tax

pending

security

pending

cold start

hosted

freshness

Active3d ago

Our reading of OI AI Adoption, from the data

OI AI Adoption is an MCP server, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

Maintenance is active: the last public signal was 3 days ago (2026-10-15).

It runs as a hosted endpoint, so there is nothing to install.

Install OI AI Adoption MCP server

Install in Claude Code

claude mcp add --transport http ai-adoption https://operative-intelligence.com/ai-adoption

Remote endpoints

  • streamable-httphttps://operative-intelligence.com/ai-adoption

Freshness

Active — last maintenance signal 3d ago. The newest of the signals below sets the band.

  1. Last commit (default branch)

    no data · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    2026-10-15 · 3d ago · official registry · v0.1.0

FAQ

›How do I install the OI AI Adoption MCP server in Claude Code?

Run: claude mcp add --transport http ai-adoption https://operative-intelligence.com/ai-adoption. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does OI AI Adoption require an API key?

No required environment variables are declared in its published metadata.

›Can I use OI AI Adoption as a remote (hosted) MCP server?

Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.

›Is OI AI Adoption in the official MCP registry?

Yes, as com.operative-intelligence/ai-adoption.

Sources and method

Official MCP Registry entry
updated 2026-10-15
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.