Enables agents to store LLM query-response pairs and retrieve them via fuzzy cosine similarity matching, reducing duplicate inference calls; it exposes tools for setting cache entries, semantic lookup, and hit-rate statistics.

Enables Claude to create, edit, validate, and animate video projects through structured project files, including rendering frames or exports, inspecting previews, and applying themes, templates, effects, and subtitles.

Enables agents to run multi-engine web searches, find GitHub repositories, and fetch web pages as Markdown with headless-browser fallback and automatic system-proxy support.

Enables Claude to manage an Instagram professional account through Meta's official Graph API, including analytics, comment moderation, and publishing, while running locally with confirmation-preview safeguards for write actions.

Enables reading public WeChat articles through HTTP text extraction with metadata, pagination, and image links, automatically falling back to a visible Chrome window when a verification page appears so the user can complete any captcha manually.

Enables local synchronization of Garmin activity and health data using a personal API key, then lets MCP-connected AI clients analyze training readiness and recovery with cited models and research. Supports viewing records, sleep/HRV, stress, Body Battery, and generating pre-run recommendations without hosting accounts or personal data.

Enables AI assistants to raise, submit, approve, amend, and cancel purchase orders and onboard suppliers in ERPNext or SAP S/4HANA while enforcing procurement controls such as duplicate detection, budget limits, split-purchase checks, price tolerances, and segregation of duties.

Enables creating, inspecting, and stopping Google Colab sessions, executing Python code or files, retrieving session URLs, and reading logs through the local Colab CLI.

Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.

Enables AI agents to set up, launch, monitor, and manage LoRA training runs through the ai-toolkit web UI API, including datasets, captions, job configuration, checkpoints, logs, loss curves, and sample images.

Enables MCP clients to explore PostgreSQL schemas, run guarded read-only queries with row limits, and inspect execution plans without executing them. It prevents writes and DDL while exposing schema discovery tools, a schema overview resource, and a guided analysis prompt.

Enables AI agents to monitor live token consumption and rate-limit windows across providers and assess whether expensive actions are justified before exhausting quotas, with optional budget guardrails.

Enables natural-language control of Siemens NX 12 for 3D modeling, 2D drafting, tolerance annotation, process planning, read-back verification, and PDF export through a persistent NXOpen bridge.

Enables AI agents to search and invoke 1,939 Atlassian automation tools across Jira, Confluence, Bitbucket, Admin, Assets, and more, with cached reads and JSON-RPC over stdio. It helps agents find tools without calling Atlassian and execute operations while reducing rate-limit pressure.

Enables AI assistants to connect to a student's university learning platform through Lightpanda, supporting consultation of courses, activities, deadlines, calendar events, downloadable materials, and assignment submissions via natural-language requests.

Enables MCP clients to perform basic arithmetic, send demo log messages, read static and personalized greeting resources, generate greeting prompts, and receive autocompletion suggestions over Streamable HTTP.

Enables AI clients to create, configure, validate, and generate STM32CubeMX projects through 113 MCP tools, including pin, clock, peripheral, RTOS, and middleware setup plus C code generation. It can drive an installed CubeMX engine or run fully standalone using a bundled data pack with real pin and mode validation.

Enables SF State students to plan their degree with any AI assistant by answering what remains, generating multi-year paths, selecting and ordering courses, and verifying every plan against the official Bulletin.

Enables AI agents to drive remote desktops through the local RustDesk client on macOS, launching sessions, capturing the session window, and injecting keyboard and mouse input. Exposes session lifecycle, screenshot, input, and device book capabilities as MCP tools.

Enables an AI agent to list the 1 € Crous & Go student menus, ask which variant you want, and place and pay for the order through your own Izly account, with dry runs, a kill switch, a 1 € price cap, and explicit confirmation before any real purchase.

Local MCP server that gives coding agents a verifiable project memory, trims what enters their context, and masks secrets — with honest accounting of what it saves and costs.

PostHero MCP server — schedule and publish social media posts from any MCP-compatible AI tool

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.

Enables Claude and other MCP clients to control a running DAZ Studio through the DazScriptServer plugin, covering scene queries, node and morph editing, posing and multi-character interactions, camera and lighting setup, keyframe animation, renders, content library browsing, and arbitrary DazScript execution. It also lets clients generate scenes, shot sequences, and dialogue choreography from natural-language descriptions.