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756,802 tools. Updated 2026-11-07 17:52

"Bridging DeepSeek Chat with MCP Tools for Local Hardware Development" matching MCP tools:

  • For quick answers without tools or file access, send your task to the raw DeepSeek model. Since it is stateless, provide full context in the task or system prompt.
    MIT
  • Collect host system context and development environment details in one call to prepare for coding tasks. Get OS, hardware, locale, and availability of programming tools instantly.
    MIT
  • Send a chat completion prompt to a Chinese LLM like DeepSeek, Qwen, or GLM and get the assistant's reply as text. Requires a NOVAI_API_KEY.
    MIT
  • Send chat completion requests to AIOrouter models and get the full response. Choose from Qwen, DeepSeek, GLM, Kimi, Grok and more, with adjustable max tokens and temperature.
    MIT
  • List available BrainFlow EEG boards with IDs, sampling rates, and channel counts. Identify hardware options, including synthetic and playback boards, for acquisition.
    BSD 3-Clause

Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.
    1
    MIT

Matching MCP Connectors

  • Conversational access to advertising performance data, creative analysis, and campaign insights

  • Your website's chat widget, answered by your agent. Pay per action.

  • Upload local files to a DeepSeek account and get file IDs for attaching them to chat prompts via refFileIds.
    Apache 2.0
  • Summarize any webpage's content using configurable LLM or local methods, with automatic fallback for consistent results.
    MIT
  • Scan for nearby Bluetooth devices using local hardware. Returns device name, address, type, and pairing status.
    MIT
    Destructive
  • Scan nearby Wi-Fi networks to retrieve SSID, BSSID, signal strength, channel, and security type using local wireless hardware.
    MIT
    Destructive
  • Send a prompt to any AI chat model on avots.ai and receive a response. Delegate sub-tasks or get alternative perspectives from models like GPT, DeepSeek, and more.
    MIT
  • Send an OpenAI-style message list to DeepSeek and receive the assistant's reply text.
    MIT
  • Retrieve a known public URL as its title and Markdown content via DeepSeek, without calling a chat model. Use it to read a specific web page.
    MIT
  • Retrieve all hardware CoolerControl recognizes, including CPUs, GPUs, fan hubs, AIOs, PSUs, and drives. Get speed-controllable channels and temperature sensors with UIDs for configuring other tools.
    MIT
  • Initialize a Scaffold-ETH 2 project that forks a specified mainnet chain for local development with Foundry.
    MIT
  • Suggests a local model for your use case by matching hardware fit and 30-day Studio usage, returning a JSON recommendation and hardware summary.
    MIT
  • Send a prompt to any major LLM and receive the assistant's reply. Choose among GPT, Claude, Gemini, DeepSeek, Qwen, and more for text completion.
    MIT
  • Generate a stateless DeepSeek V4.1 response through an OpenAI-compatible Responses API. Accepts text, images, files, tools, and reasoning controls, with optional streaming.
    MIT
  • Get local system hardware details: CPU model, RAM, disk space, uptime, and network interfaces with IPs and MACs, directly from your machine.
    MIT
    Destructive
  • List chat models exposed on DeepSeek FR with capability notes, providing canonical model information to AI clients without requiring API keys.
    MIT