Tag

#IDE

320 results found

Verify Action
@Armada735

Verify AI agent tool calls with content-addressed, HMAC-attested receipts. Free third-party verification API for AI agents. Call verify_action(claim, evidence) to get an independent integrity check on whether your claimed action matches the actual evidence. Useful for catching silent failures: incorrect SQL operations, file-op mismatches, API call inconsistencies, and code-diff scope creep. Five specialized verifier kinds: - code_diff: verb / path / identifier coherence with unified diff - db_op: row delta + SQL operation + ID match - file_op: existence state + line/size delta - api_call: request body and response status coherence - generic: conservative fallback Returns: - aar_verdict: verified | contradicted | insufficient_evidence | unsafe_to_verify - verdict: ok | mismatch | uncertain (legacy 3-value alias) - reasoning, confidence - receipt: verify_action_receipt.v0 with HMAC-SHA256 signature, content-addressed via SHA-256 hashes of claim and evidence Cross-vendor: works with Claude Code, Cursor, Cline, Codex, Codeium, and any MCP-compatible harness. Stateless, per-request, no API key, no registration. Pure Python stdlib (no pip install). Anonymized telemetry only — no PII, no model fingerprint, no raw claim/evidence retention. Honest scope: this is a small reference implementation, not a canonical inter-vendor standard. v0 receipts use HMAC-SHA256 (symmetric, single-issuer); v1 with ed25519 + multi-issuer is on the roadmap. The hosted endpoint has no SLA — self-host for stability (git clone && ./start.sh). 90-day probe with explicit kill criteria. If adoption appears, v1 schema work begins. If response is null, the null is itself a publishable data point.

a month ago
Lexicon
@Nadine

2 months ago
Pulsetic Mcp Server
@Pulsetic

The Pulsetic MCP Server connects Pulsetic monitoring with AI agents and MCP-compatible tools, enabling direct access to uptime data, cron monitoring results, incident management workflows, and status page information through the Model Context Protocol (MCP). It allows teams to securely expose operational monitoring data in a structured format, making it easy to build AI-driven automation, monitoring assistants, and intelligent operational workflows without custom middleware. Core Capabilities Uptime Monitoring Access real-time and historical uptime data through AI systems. Query monitor health, availability metrics, and performance status directly from AI agents or automation workflows. Cron Monitoring Track scheduled jobs and background tasks with cron monitoring insights. Detect missed executions, delays, or failures and integrate alerts into AI-powered operational processes. Incident Management Retrieve incident history, status updates, and timelines programmatically. Automate incident analysis, reporting, and response workflows using AI tools. Status Pages Integrate public or internal status page data into AI environments. Automatically surface service status, ongoing incidents, and maintenance updates for improved transparency and communication. Use Cases AI-powered uptime and reliability monitoring Automated incident response and reporting Intelligent cron job supervision Status page automation and operational visibility Internal AI assistants for DevOps and SRE teams The Pulsetic MCP Server brings uptime monitoring and operational intelligence directly into modern AI ecosystems, enabling smarter automation, faster troubleshooting, and improved service reliability.

3 months ago