Enables AI assistants to query and analyze self-hosted real-estate public-records data through 20 read-only MCP tools, including property search, foreclosure and distress signals, comps, market context, and optional license-gated deal scoring.

Enables AI assistants to inspect and query a TPC-H sales warehouse through read-only, allowlisted catalog tools and schema resources, with ad-hoc SQL disabled by default. It enforces strict arguments and input-free errors, while a differential attack suite verifies that query protections hold across MCP transports.

Enables searching, reading, and privately archiving news from supported publisher subscriptions, with per-user authentication via human sign-in links and separate tokens, sessions, and archives.

Enables LLM clients to perform sandboxed file operations, manage persistent notes, fetch live weather and Wikipedia summaries, calculate arithmetic safely, and retrieve current UTC time via a standalone tool server over stdio or HTTP.

Enables MCP clients to inspect local Git repositories through five focused, read-only tools for repository trees, literal text search, numbered file reads, bounded git diffs, and project summaries while confining paths, skipping secret-like and binary files, and enforcing output limits.

A zero-dependency MCP suite exposing computational tools across metabolic, cardio-renal, chronobiology, neuro-recovery, and biomechanics domains. It enables clients to derive longevity and physiology metrics such as autophagy index, glucose-ketone ratio, glycemic variability, peripheral resistance, nocturnal BP dipping, DLMO clock time, melanopic lux, caffeine clearance, EEG fatigue entropy, and grip vitality age from user-supplied measurements.

Exposes MCP tools that compute longevity and metabolic metrics (autophagy index, GKI, MAGE), cardio-renal biomarkers (BUN/creatinine ratio, cardiac output and TPR, nocturnal BP dipping), chronobiology estimates (DLMO, melanopic lux, caffeine clearance), plus neuro-recovery and biomechanics scores. Runs as a zero-dependency Python JSON-RPC 2.0 stdio server so any MCP-compatible client can query these physiological domain calculators.

Enables governed, AI-safe access to traveler data through three typed tools, enforcing consent, PII removal, provenance, and audit at the MCP boundary.

Exposes a multi-tenant helpdesk over MCP, enabling tool-based ticket, document, and notification operations while applying configurable authorization, tenant-isolation, input-handling, and rate-limit defenses.

Enables AI agents to browse and manage a gThumb image library by reading and writing catalogs, tags, ratings, comments, thumbnails, and search results directly in gThumb’s own data.

Enables Claude and other MCP clients to search finn.no and create, manage, and publish Torget ads from photos — preparing images (EXIF/GPS stripping, resize, HEIC), writing titles and Norwegian descriptions, suggesting category and market price, checking for duplicates, and publishing only after explicit confirmation. Read-only search, listing details, saved-search diffs, and management of your own ads are also supported through a locally stored logged-in session.

Enables AI agents to remember people, projects, places, and topics across conversations under a strict token budget, returning compact handles with expandable details while preserving changes, provenance, and encrypted self-hosted storage.

Enables Alexa+ to turn natural-language household goals into context-aware, confirmation-gated plans, execute them, and verify that devices actually reached the intended state.

Enables an MCP-compatible assistant to log in with UNC single sign-on and explore the FCEFyN virtual classroom, listing enrolled courses, retrieving course indexes and materials, and reading or searching pages, activities, and PDFs. It works read-only with the user's own credentials, without tokens, admin permissions, or downloading entire courses.

Enables AI agents to query Huawei Cloud catalog and list prices, build quotes, and generate share links on the Huawei Cloud pricing calculator.

Enables AI agents to store decisions as a versioned history, linking each new decision to the one it replaces so that recall always resolves to the decision currently in force instead of obsolete ones. It runs fully locally on a single SQLite file with BM25 search, and can optionally detect replacements automatically via an LLM or heuristic linker.

Enables agents to run SweetScape 010 Editor Binary Templates and Scripts headlessly against local files. It provides tools to locate the editor binary, execute templates or scripts, and use controlled exit behavior for compile and runtime failures.

Enables auditing GitHub Actions workflows for security problems directly from an MCP client, returning a risk score and findings with file:line evidence, attack narratives, and fixes. Also exposes the full rule catalog and a one-call demo that writes and scans a deliberately broken workflow.

Enables an agent to author, render, and visually verify Manim animations from a described concept, returning evidence and structured verdicts so incorrect renders can be fixed before export.

Enables building zero-dependency Model Context Protocol servers over the Streamable HTTP transport, exposing typed tools, resources and URI templates, prompts, background tasks, and OAuth-protected endpoints. It can be mounted into FastAPI, Starlette, Flask, Django or any ASGI/WSGI app, or run standalone on the Python standard library alone.

Enables an LLM client to perform reverse engineering inside IDA Pro without the GUI, opening databases headlessly in persistent worker processes and exposing tools to decompile and disassemble functions, rename symbols, retype variables and arguments, add comments, and convert numeric bases. It can also run over stdio or HTTP transports and adopt an existing GUI session when desired.

Enables Claude to retrieve read-only public market data, including SEC EDGAR filings, FRED macro series, and end-of-day prices, with source and retrieval dates.

Enables AI apps to query a user's Google Health data—such as sleep, heart rate, HRV, activity, and paired devices—through read-only tools deployed privately in the user's own Firebase project.

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.