Raccoon AI (LAM API)
The Raccoon AI MCP Server enables AI assistants to perform web browsing, data extraction, and complex web task automation through Raccoon's LAM API. Built for Python 3.10+ environments, it allows users to search websites, fill forms, navigate UI elements, extract structured data based on defined schemas, and handle multi-step processes across websites. The server requires a Raccoon AI Secret Key and Passcode from the Raccoon platform, and can be installed via Smithery or from source, making it particularly valuable for workflows requiring web automation and data extraction capabilities without direct browser access.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/raccoonaihq/raccoonai-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Raccoon AI (LAM API) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.