About antigravityrunledger-mcp
antigravityrunledger-mcp is a hosted remote MCP for AI product teams, operations leads, and workflow owners who need evidence of Antigravity agent runs. Its tools issue run receipts, summarize changes, check test evidence, flag review risks, and export logs.
Key features
- 01Run receipt issuance
- 02Agent change summaries
- 03Test evidence checks
- 04Review risk flags
- 05Run log exports
Use cases
- 01Creating structured run receipts
- 02Reviewing agent changes and test evidence
- 03Flagging risks for human review
- 04Exporting run logs
MCP support
Provides a Streamable HTTP remote MCP endpoint with tools for run receipts, change summaries, test evidence, review risks, and run log exports. Production calls use bearer-token access.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://antigravityrunledger.clauxel.com/mcpclaude mcp add --transport http com-clauxel-antigravityrunledger-antigravityrunledger https://antigravityrunledger.clauxel.com/mcp{"mcpServers":{"com-clauxel-antigravityrunledger-antigravityrunledger":{"type":"http","url":"https://antigravityrunledger.clauxel.com/mcp"}}}Open in Cursor{"servers":{"com-clauxel-antigravityrunledger-antigravityrunledger":{"type":"http","url":"https://antigravityrunledger.clauxel.com/mcp"}}}Open in VS Code{"mcpServers":{"com-clauxel-antigravityrunledger-antigravityrunledger":{"type":"http","url":"https://antigravityrunledger.clauxel.com/mcp"}}}{"mcpServers":{"com-clauxel-antigravityrunledger-antigravityrunledger":{"serverUrl":"https://antigravityrunledger.clauxel.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://antigravityrunledger.clauxel.com/mcpAuth requiredTools
Details
From the project READMEAntigravity Run Ledger
Antigravity Run Ledger is a hosted remote MCP for Antigravity agent run receipt MCP.
This repository is a public documentation project for Antigravity Run Ledger. Its structure follows the public documentation pattern used by MiroFish: a short front door, a clear reading order, practical guides, reference pages, and a public-safe boundary.
Start Here
- Website: https://antigravityrunledger.clauxel.com/?utm_source=github&utm_medium=documentation&utm_campaign=antigravityrunledger_public_docs&utm_content=readme_home
- Pricing: https://antigravityrunledger.clauxel.com/pricing/?utm_source=github&utm_medium=documentation&utm_campaign=antigravityrunledger_public_docs&utm_content=readme_pricing
- Checkout: https://antigravityrunledger.clauxel.com/checkout/?utm_source=github&utm_medium=documentation&utm_campaign=antigravityrunledger_public_docs&utm_content=readme_checkout
- Support: [email protected]
Remote MCP
- Endpoint: https://antigravityrunledger.clauxel.com/mcp
- Server card: https://antigravityrunledger.clauxel.com/server-card.json
- Registry name:
com.clauxel.antigravityrunledger/antigravityrunledger-mcp - Tools:
issue_run_receipt,summarize_agent_changes,check_test_evidence,flag_review_risk,export_run_log
Reading Order
- Quickstart
- Evaluation guide
- Checkout and pricing
- Workflow notes
- Security model
- Public link reference
Audience
AI product teams, operations leads, workflow owners, and technical evaluators.
Capabilities
- Streamable HTTP MCP endpoint
- Bearer-token access for production calls
- Structured tool-call output
- Receipt-oriented evidence export
- Public server card and registry metadata
- MCP tool: issue_run_receipt
- MCP tool: summarize_agent_changes
- MCP tool: check_test_evidence
- MCP tool: flag_review_risk
- MCP tool: export_run_log
Public-Safe Boundary
This repository contains documentation only. It does not contain production source code, credentials, payment configuration, Cloudflare configuration, customer records, private analytics, or local machine paths.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.