Enables AI agents to debug Commodore software in a locally running VICE emulator through its text remote monitor, inspecting registers, memory and screens, disassembling code, setting breakpoints and watchpoints, controlling execution, and working with disk images, snapshots and exported graphics. Runs locally over stdio and includes safety guidance for state-changing operations.

Enables Claude and Cursor to search a team's synced Slack, GitHub and Notion content through permission-aware hybrid search with citations, retrieve a source document with its review and comment thread, and query time-aware knowledge graph facts when the graph is enabled. Every tool call runs with the signed-in user's permissions, so the assistant sees exactly what that user can see.

Embeds a runtime MCP inspector in a NestJS app so coding agents can inspect the module and provider graph, routes and their guards/interceptors/pipes/filters, logs, request traces, event listeners, and scheduled jobs through an HTTP endpoint.

Enables MCP clients to drive a local Windows avatar interface, switching between an energy core and holographic face, triggering expressions, and reacting to microphone volume through seven exposed tools. It serves an animated visual panel over localhost with SSE updates while conversation stays in ChatGPT.

Enables coding agents to navigate and verify a contract-backed semantic graph of TypeScript backends, inspect change impact, run checks, explain failures, and draft human-reviewable contracts through bounded MCP tools and matching JSON CLI output.

An native MCP server extension for Ghidra

A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

MCP server giving AI assistants live, sourced access to Brazilian public data — geography, census, economy and health — from the official IBGE APIs. Exact figures with provenance, not approximations.

Free, open-source SQL Server and Postgres performance monitoring. Collectors, real-time alerts, graphical plan viewer, MCP server for AI analysis. Supports SQL 2016-2025, Azure SQL, AWS RDS, Postgres, Aurora Postgres.

Enables an LLM to triage hard-to-extract Vue components by feeding it structured coupling analysis, dependency graphs, and design tokens, then generating decoupling suggestions with before/after code, composable wrappers for store-bound components, and full rewrite-and-extract operations.

Enables agents to generate optimized multi-day travel schedules and decision payloads via MCP, applying TSP graph heuristics with fatigue decay and opening-hour constraints.

Enables agents to plan multi-day travel schedules by solving itinerary graphs with TSP heuristics, fatigue decay, and opening-hour constraints, exposed over MCP STDIO JSON-RPC for agent runtime integration.

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 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.

Exposes an OSINT investigation toolkit to any MCP-compatible AI client, which can drive passive checks such as DNS, WHOIS/RDAP, breach, IP reputation, GitHub and news-geo lookups and chain findings across them. The server lists 20 tools by default (16 passive plus 4 graph and batch helpers) and 25 when active checks are explicitly allowed, running via uvx with no separate install.

Enables a single owner to connect an authenticated Streamable HTTP client to read-only Microsoft Graph inbox previews and basic calendar data using their own Entra application and delegated consent, without sending, deleting, or modifying mail or calendars.

Enables AI coding agents to query a locally indexed codebase graph for symbol definitions, immediate callers and callees, and multi-hop downstream dependency impact analysis through MCP tools.

Enables MCP-compatible AI clients to run passive OSINT investigation tools for domains, IPs, emails, usernames, breaches, DNS, WHOIS, and reputation checks through natural-language tool calls. It exposes 16 passive tools by default, plus graph and batch helpers, with additional active tools available when explicitly enabled.

Enables querying a city road graph for shortest routes by total distance and a 25-room maze for fewest-door paths, returning step-by-step trace explanations and animating each search in a live web viewer.

Enables AI agents to query a Python codebase as a knowledge graph over MCP, exposing symbol search plus callers, callees, and module dependency tools.

Enables agents to interact with a ServiceNow instance through thirteen consolidated tools covering records, schema, CMDB graph traversal, catalog, attachments, code, operations, knowledge, and administration, with a local store for notes, cache, saved queries, history, and revertible writes.

Enables agents to run deterministic protocol and schema synthesis through an MCP STDIO server, including Robinson-type unification, schema lens generation, and graph edit distance scoring.

Enables deterministic execution, cryptographic security, and game-theoretic optimization through the Model Context Protocol, returning deterministic JSON tool results for agent telemetry and task inputs.

Enables agents to use ACT-R spreading activation memory, semantic association graphs, and automated memory consolidation via the Model Context Protocol.