Career Change Signal Engine reads the people on your watch list and returns only what changed since you last checked: who left, who landed where, who replaced them, and who started after a role closed. Every row says how the person was matched, which source answered, and how old that source is.

Change engine for the PerfoAds MCP server (works with Google Ads): propose, check with Google, approve, apply once, read back, log and undo.

Open-source MCP server and hook service that keeps Claude Code and Codex engineering context current as the code changes, and holds edits whose evidence changed.

MCP server for engineering decisions, task context, change impact, and documentation audits, with optional architecture maps

AI-optimized DOCX manipulation engine: deterministic OOXML editing with tracked changes, hash-anchored addressing, and a token-efficient agent view.

Open-source MCP server and hook service that keeps Claude Code and Codex engineering context current as the code changes.

Open-source engineering intelligence: ingests real development events, computes metrics with published contracts, detects change against each scope's own history, and decomposes what accounts for it. Never fabricates a number.

The AI X-ray for any file: what is it, what does it hide, what changed. Static reverse-engineering intelligence via CLI and MCP. Built on REA.

Engineering decision memory for your organization. Extract the why behind your code from PRs, issues, and commits, then ask natural-language questions - dg ask "Why was this built this way?" and get answers with evidence chains, not just what changed.

Change guard and refactoring engine for coding agents: catches broken callers, schema and endpoint gaps after an edit, and does rename, change-signature and move-symbol across 14 languages - local code graph, over MCP, CLI and a web UI

AIContextBuilder (AICB): semantic code intelligence for AI coding agents on C#/.NET (dotnet). Roslyn MCP server and CLI: change impact, static analysis, code navigation (callers, implementations, dependency injection, tests, side effects, dead code) and context engineering. For Claude Code, Codex, OpenCode, Cursor; Windows desktop app included.

Local-first context engine for AI coding agents. Pre-indexes your codebase into a dependency graph and feeds any MCP agent only the code that matters, so it stops rediscovering your repo before every change. Fable-5-level results from Opus 5 on SWE-bench

Deterministic change-impact analysis for engineers and coding agents.

Engineering context, change impact, and independent API verification.

Free read-only MCP server for network engineers: config drift, CIS/PCI checks, 802.1X diagnosis, certificates inside configs, topology, OPNsense rule changes, change pre-flight. No account, no telemetry.

A quantitative macroeconomic engine implementing Ray Dalio's Changing World Order frameworks with Python, FastAPI, Streamlit, and MCP interfaces.

DecisionGraph is an engineering decision memory system that captures evidence from GitHub/Slack/Jira, answers “why” questions, and runs pre-change guardrails via CLI/API/MCP.

Offline-first SQL audit engine and MCP SQL audit server for MySQL, TiDB, and PostgreSQL DDL/DML changes.

MCP server to read and change MikroTik SwOS / SwOS Lite switches (CSS610) live over their web API: field map from the switch's own engine.js, dry-run + confirm writes, .swb decode/diff/restore

Local code intelligence engine for AI coding agents. Answers "what breaks if I change this" and finds the right file for 99.4% fewer tokens than grep and read. Fully local, no GPU, no upload.

AI Constraint Engine by Sandeep Roy — AI Patch Firewall. Diff-native review (interface breaks, protected symbols, dependency drift, schema changes, API impact), Patch Gateway (ALLOW/WARN/BLOCK verdicts), Spec Compiler (NL→constraints), Code Graph (blast r

Your own cybersecurity engineer, watching over you 24/7. Free, open-source Mac security agent that uses your own AI, or one running fully on your Mac, to explain what it finds in plain words. Nothing changes without your Touch ID.

MCP server for Unreal Engine 5, built into the editor. AI agents like Claude Code, Cursor and Codex create and edit Blueprints, materials, levels, Niagara, animation, UMG, PCG, Sequencer, GAS and Behavior Trees, with every change checked and read back.

On-demand .NET runtime diagnostics for live CoreCLR apps — no code changes. Ships an MCP server (let an LLM drive the investigation), a standalone CLI, and a BenchmarkDotNet diagnoser, all on one engine: counters, CPU/off-CPU/alloc sampling, heap & thread snapshots, GC/contention/threadpool events, dumps.

Forge Engine MCP connector — the MIT-licensed Forge Runtime CLI (@forgeengine/cli) and registry manifest. Forge is the living plan AI coding agents read before they build and report back to, with every change reviewed before it lands.

MCP server for Unreal Engine 5.3 to 5.8 and Blender: Claude Code or any MCP client works in the editor through typed commands, and every change is read back. Docs, links and bug reports here; the source is private.

CodeGraphX (CGX) — a local, token-efficient codebase graph engine & MCP server for AI coding agents. Tree-sitter parsing, a bi-temporal SQLite semantic graph, O(1) symbol lookup, and impact/blast-radius tracing so agents answer 'what breaks if I change this?' in a few hundred tokens.

Second Brain OS (engine codename HADES v3) — a local, plain-markdown second brain for one human and many AI agents: numbered zones, retrieval with provenance, every rule enforced by a script instead of a reminder, harnesses over MCP on stdio, durable changes only with a human approval.

Schema-change detector and data-contract tests

Compare STEP CAD files: identical, moved, or different, and what changed. Runs locally; files never leave your computer.

Ask your AI agent to change any web app or browser game, and keep the change as a mod that comes back on every load. A browser extension and an MCP server, with a DevTools panel for doing it by hand.

Lode — keep AI coding on one reviewed product direction across Claude Code, Codex & OpenCode, with compaction-safe recovery and change lineage.

Reference MCP server for the Org Context Spec — serves organizational context to AI agents and lets them propose changes

Shrinks your AI agent's tool output so it burns fewer tokens, without changing what the agent reads. Lossless by default, no decode step.

Vault AI – the MCP server for Autodesk Vault. Find files, fix properties, manage lifecycles and change orders in plain English. Your data stays on your server.

MCP server giving AI agents cited, review-gated grounding in EU regulation: ESMA MiCAR register search, change tracking, white paper linting, EU AI Act classification.

Self-hosted search and research infrastructure for AI agents. Query web and specialist sources through MCP, run durable research jobs, and monitor results with replayable change events. SearXNG-compatible HTTP API.

git-for-context — LLM context dedup: unchanged file re-reads collapse to hash-verified stubs, changed files return diffs. OpenCode plugin + zero-dep MCP server. Measured −34% per-turn context.

Memory integrity for DataHub agents — agent memories that expire when the schema, glossary, or ownership beneath them changes. Built on DataHub's Timeline API, Documents and structured properties, with an MCP server for agents.

Evidence-bound remediation agent for DataHub-governed data products. Turns one schema-drift incident into a proof-carrying, verified dbt change set — with an MCP server and a DataHub Skill so an agent can drive it, but never approve it.

An exoskeleton for your AI coding agent - it remembers everything, sees your whole codebase, can undo any change and can't fake a result. Fewer wasted tokens, fewer broken builds. Claude Code, Cursor, Codex & more.

Hosted streamable HTTP MCP server for Cloud World Model: simulate cloud infrastructure and estimate cost, latency and resilience before deploying or changing infrastructure. Multi-cloud world model for AWS, GCP, Azure, OCI and DigitalOcean; MCP and REST, with x402 payment on eligible requests.

Local dashboard, CLI and MCP server for AI coding agents: watch Claude Code and Codex edit live, track session cost, verify the work is done and safe to ship, review risky changes, and keep CLAUDE.md/AGENTS.md true.

Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for humans and coding agents—visualized for people, accessible to agents through MCP, and reviewed with Git. Local-first. Open source.

Personal, local-first memory infrastructure for your coding agent. No account, no subscription; the agent can install it itself. Keeps long-term memory correct when decisions change — when you reverse a choice, the agent stops acting on the abandoned one. Python · zero deps · MIT.

Verified memory for coding agents: your rules, decisions and past defects, briefed before each task, proven by a check you choose, and re-opened when the code they cover changes. Prompts advise; the gate enforces. Claude Code hooks, MCP for any agent, one SQLite file in the repo.

Aurora MCP server — glass-box statistical analysis for AI agents: 19 research-grade methods, cited findings, integrity-hashed bundles, zero invented numbers. Now with a calibration engine: measured false-fire rates attached to changepoint findings, verdicts downgraded when the data can't support the claim. Local-first.