"Eight" matching MCP servers:

An MCP server for trading agents that provides eight tools to trade under enforceable limits, local paper trading, and comprehensive risk management.

Exposes eight mmap_* tools that let an agent declare a system's ghost dependency design first, then light each node up as it is built and verified, with downward-only edges and evidence-backed green status. Clients get a live ledger of what exists, what is in progress right now, and which foundation has cracked.

Exposes eight MCP tools over streamable HTTP that let clients ingest alerts, list and diagnose incidents, analyze Terraform plan risk, propose remediations, and dry-run or execute policy-validated, approval-gated changes with automatic rollback.

Exposes eight typed tools that let an agent read a messy supplier message and then safely work payment incidents on the Airwallex sandbox—deferring, replacing, escalating or certifying a transfer—while code-enforced exactly-once guarantees make it impossible to pay a supplier twice.

Enables AI assistants such as Claude and Cursor to discover and verify agents, negotiate offers, execute conditional settlements, and verify receipts and complete multi-agent workflows through eight MCP tools.

Exposes a live shapez.io factory to MCP clients through eight tools, letting them read world state, place and delete buildings, fast-forward game ticks deterministically, and move blueprints or savegame snapshots. All operations run locally against a companion bridge process over 127.0.0.1.

Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share, governance. Anchored on COTI V2 mainnet. Apache-2.0.

This MCP server lets an agent run local binary inspection on ELF, Mach-O, PE, APK, IPA, ASAR, WebAssembly, and firmware targets — pulling symbols, sections, classified strings, disassembly, and mitigation posture, and flagging dangerous imports and CWE patterns. It exposes eight stdio JSON-RPC tools (with no external API keys) that feed a multi-agent swarm for attack-surface mapping and exploit-chain synthesis.

Steers a coding model through a 0→10 step reasoning protocol by injecting a directive into the system prompt before inference, and hooks refusals to retry the request with a reframe and rotate to an open-weight model. Exposes tools, prompts, and resources for traffic-light state, history, health, and configuration over stdio, Streamable HTTP, or a Cloudflare Worker.

scratchpad-mcp is an MCP server that gives AI agents persistent, token-efficient storage. Eight tools versioned file writes, structured line-diffs since a prior version, append-only logs with cursor pagination, on-demand summaries with per-version caching, and per-agent quotas. The point is to stop agents from re-reading files they've already seen and re-summarizing documents.