MCP servers

Record debug sessions, commands, failed attempts, and successful fixes in local SQLite storage.

SSH Linux metrics, baselines, anomaly detection, and plain-English infrastructure explanations.

Check Supabase migrations for RLS and grant gaps; fixes for Supabase, Vercel, Stripe errors.

Persistent, structured project memory for AI coding agents, stored locally in SQLite.

Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.

Community-built server providing real-time London transport data via the TfL Unified API

Search Console analytics, hourly data, URL inspection and sitemaps, with guards for API quirks.

Open-source AI accounting skills verified by licensed accountants (tax, VAT, payroll).

Polymarket smart-money analytics: whale leaderboard, wallet P&L, market consensus, live alerts

Read, inspect and navigate codebase symbols by connecting to a Language Server

Delegate coding tasks to the OpenAI Codex CLI, installed separately, with explicit model and effort.

Audit MCP servers for tool poisoning, rug pulls and supply-chain risk (OWASP MCP Top 10).

MCP server for Oracle, MSSQL, PostgreSQL, MySQL, SQLite, MongoDB, and Qdrant vector search access.

Cognitive architecture MCP server with memory, learning, and contextual understanding

LSP-backed IDE intelligence plus concurrency-safe, transactional edits for AI coding agents.

Create payment orders, checkout, subscriptions & UPI via PineLabs Plural PG gateway

Open-source AI agent control plane and software factory: govern every tool and model call.

IKI-Gov AI governance assessment: score AI use cases, check quality gates G0-G5, map to EU AI Act.

Offline, read-only tools that verify AI claims against evidence and replay conformance vectors.

Customer support inbox: search, read, triage and draft replies to e-mail and chat.

Scan code for quantum-vulnerable cryptography and get NIST post-quantum migration guidance.

Reverse-engineering evidence from a running Windows process, not the binary on disk.

YouTube intelligence layer for AI agents. 41 tools, 10 modules, zero config.

Agents plan in Markdown and work in tasks with steps, where you can follow and audit every stage.

Test whether AI agents retain critical instructions as conversations grow.