"BNB Chain" matching MCP servers:

Ariadne's thread — a way out of the microservice maze. Local cross-service semantic chain hinter for microservices (GraphQL/HTTP/Kafka/frontend)

Every agent action is recorded in a SHA-256 hash chain. Prove to clients that your agent did what it said it did. Record, query, verify, and export agent activity.

MCP server that auto-emits tamper-evident receipts for every tool call, enabling EU AI Act Article 12 compliance with signed, chain-linked receipts.

AI-agent observability server whose distinguishing feature is a SHA-256 hash-chained, tamper-evident audit log with chain verification and signed export. Works with Claude Desktop, Cursor, and any MCP client.

Exposes a Raspberry Pi homelab's systemd service health, disk usage, CPU temperature, and LAN game-server status as read-only MCP tools, letting MCP clients answer questions like "how's the homelab doing?" without SSHing in manually.

Etch is a signed audit chain for AI agent decisions, offline-verifiable against pinned public keys.

Enables context-aware EVTX hunting with process lineage tracing and rarity baselining to surface real threats from security logs, transforming raw alerts into actionable kill chain intelligence.

Enables recording agent proposals, executions, redactions and annotations into an append-only, hash-linked evidence chain, then exporting a self-contained range and verifying offline from the export's own bytes alone so a third party can check history without trusting the agent runtime or its storage.

A thin MCP server wrapper that automatically audits all tool calls via Attestive's AuditClient, logging decisions and enabling verification of the hash chain. It provides an example server with audited tools and demonstrates end-to-end recording and verification through the MCP protocol.

Exposes twelve typed tools over MCP-style JSON-RPC 2.0 so agents can grade a multi-turn transcript against escalating social pressure, report the turn a position moved, what it cost in verified facts, and whether it reverted once the load stopped. Also supports ranking and persisting trials, setting service load, recording decisions, exporting load-test certificates, and verifying sealed hash-chain integrity.

MCP server enabling evidence-driven multi-agent incident management with fault closure workflows, including diagnosis, approval, execution, verification, rollback, and audit-chain tracking.

Simulates EVM transactions against forked chain state and explains why they revert, using Tenderly's free-tier API with decoded traces and source-mapped errors. Provides tools to simulate single transactions or bundles and inspect saved simulations, all with output size controls to keep responses affordable.

Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.

Grades the transmitters and the chain, not just the claim — grade_claim grades a claim against your local rijāl registry (ordinal + provenance, never numeric confidence). AI audit trail for RAG and multi-agent systems.

Enables AI assistants to query software supply chain compliance data, including asset status, security vulnerabilities, and evidence lineage. It allows for natural language analysis of compliance posture, policy violations, and deployment blockers across an organization.