Dev-mode pulse for SolidJS apps: flash what really updates (fine-grained computations, component mounts/remounts, DOM mutations, DOM detach/reattach with focus and scroll loss, fetch/WebSocket/SSE lifecycle, Solid Query observers) with an agent-controllab

Native Model Context Protocol (MCP) server turning AI coding agents into .NET runtime diagnosticians, memory forensic analysts, and CIL binary architects.

Deterministic Unit-Record Memory Engine for AI coding agents. Eliminates context-window amnesia and compaction bloat via zero-turn workspace hydration, byte-exact registers, and live context telemetry.

Enables a Codex/GPT conversation to request independent second opinions from DeepSeek through a local stdio MCP tool and receive provider-reported model metadata for response or synthesis.

From web terminals for your coding agents to a self-running agent company: Claude Code and Codex in parallel git worktrees, a job board they pick work from, and one agent that runs the board from a goal.

Local-first macOS board for domains, servers, subscriptions and repos, with renewal reminders and an MCP server via assetboard-cli.

Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.

Enables AI coding agents to retrieve compact structural codebase context through repository architecture summaries, AST symbol extraction, cyclomatic complexity scoring, and TODO/FIXME hotspot search.

Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.

Enables deterministic request screening and, after native owner approval, fixed-target DeadBolt enforcement actions such as kill, deny, revoke, and evidence retrieval through local stdio MCP. Model analysis can advise but cannot approve actions.

Native, read-only MCP bridge exposing live Charles Proxy traffic to MCP clients like Claude Code, Codex and Cursor

Enables AI clients to build, solve and inspect LS-DYNA analyses, either by driving Ansys Mechanical through PyMechanical or by submitting and monitoring standalone keyword-deck runs. It also reads and audits solver output files such as glstat, binout, d3plot and ASCII histories, with results comparison and deck checks.

Enables auditing, formatting, and compiling Brazilian academic manuscripts (TCCs, dissertations, articles) against ABNT and IBGE standards, with structural diagnostics, citation-reference cross-checks, tone analysis, bibliography lookup via Crossref/SciELO and DOI, and PDF generation through Typst or LaTeX. It also supports spec-driven research planning and simulated defense-board questioning so objectives and conclusions stay aligned.

cc-code — Terminal coding agent powered by open-source models — Rust-built, Claude Code compatible

Lightweight HTTP message relay for inter-agent communication across machines

Enables Google Gemini to autonomously read, write, search, and patch code files and run whitelisted developer commands inside a sandboxed local workspace for edit-and-verify coding workflows.

Enables compatible assistants to inspect Live sessions, silently mix and master bounced stems, compare references, design with installed plugins, and track local evidence and progress through supported tools.

Model Context Protocol server for the Matcher reconciliation engine

Enables Claude Code, Cursor, and other MCP clients to fingerprint websites by identifying CMSs, web servers, frameworks, and analytics tools through sandboxed Docker scans with structured reports.

Enables AI agents to drive a real Chromium browser by receiving compact, token-efficient page maps and only the changes after each action. It guards against hidden prompt injections, blocks payments, sends and deletions until the user approves, and lets agents learn site-specific notes over time.

Enables agents to bring claims, situations, and Scripture passages to five doors (Check, Find, Walk, Word, Keep) and receive a verdict, the worked reasoning trail, cited sources, and a re-checkable content-addressed seal. It covers 77 verifier domains and 880k+ cards fully offline, so answers are found, verified, and sealed rather than generated.

A local Python + SQLite MCP memory service that stores persona, shared experiences, facts, agreements, and unfinished work, then restores them within a context budget so a new model can continue the same conversation. It supports offline original-text persistence, Chinese keyword retrieval, provenance-tracked memories, persona versioning/rollback, and progressive fading of older events.

Exposes the full Plexim PLECS Standalone JSON-RPC interface as MCP tools, letting agents auto-start and connect to PLECS to load and edit models, run simulations and analyses, manipulate scopes and webserver data, and perform code generation or FMU export with structured, size-aware results. Includes write guardrails, concurrency handling for long simulations, and batch/raw passthrough escape hatches.

The Product Manager's Operating System. A Claude Code plugin with 27 AI-powered skills for every PM workflow.