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

Enables MCP clients to search the web and fetch public web pages via DeepSeek's Search and Fetch APIs, returning ranked results and Markdown page content for agent use.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A general MCP server providing web search capabilities using DeepSeek's native online search API.

An MCP server that provides web search powered by DeepSeek's native search API, returning AI-generated answers with source links. Integrates with MCP-compatible clients like Claude Code and Cursor.

Enables MCP clients and agents to run structured web searches and fetch web pages as Markdown through a search/fetch API, with rate limiting, retry/backoff, request deadlines, and private-address blocking for safer agent use.

Enables MCP clients such as Claude Code to run real-time web searches and fetch public web pages as Markdown through DeepSeek's official search and fetch APIs, with result pagination and response caching. Runs over stdio and only requires a DeepSeek API key, needing no browser, Docker, or database.

Enables agents to run web searches with query operators and to fetch web pages as Markdown through DeepSeek's native Search/Fetch JSON API. It acts as a fallback for hosts whose built-in web tools are unavailable or return errors such as HTTP 403, rather than retrying them repeatedly.

Exposes DeepSeek's web search and page-fetch tools to any MCP client, letting any LLM run searches with quality signals like rerank score and source authority, plus advanced query syntax. It also retrieves single pages as Markdown, with built-in throttling, retries, and size-conscious summaries.

A DeepSeek-powered MCP server that provides high-accuracy web search using the native DeepSeek V4-Flash search API, offering standard and deep research tools that return cited answers and cross-verified reports.

Enables MCP clients to run ranked web searches with DeepSeek's search operators and to retrieve pages as titles and Markdown through DeepSeek's official Search and Fetch APIs, without invoking a chat model. Results are returned as structured content plus matching JSON text, with options for result count, page content, localization, and original-question context.

Enables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.

Enables interactive chat with AI models and document retrieval via the Anthropic API, supporting command-based prompts and MCP tool integrations.

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

An MCP server that connects Claude to your Google Chat workspace, enabling search of messages, spaces, and DMs with automatic resolution of real display names.

Provides fast full-text search over a local SQLite mirror of Bitrix24 chat history, enabling AI assistants to retrieve past conversations, context, unanswered questions, and tracked promises without ever writing back to Bitrix.

Enables MCP-compatible AIs to read a user's local three-layer memory of their own typed chat messages, including raw text, conversation summaries, and theme indexes, so responses can be grounded in the user's past decisions and preferences.

A memory layer for AI coding tools that indexes transcripts from Claude Code, Gemini CLI, Codex, OpenCode, and Antigravity into a unified searchable history, providing 52 MCP tools for agents to recall past sessions, search across tools, and write back decisions.

Enables agents to run web searches and fetch HTTP(S) pages as Markdown via the DeepSeek Search/Fetch API, returning titles, URLs, summaries, publication dates, authority scores, and optional page content. Supports advanced query operators like site:, exact phrases, exclusion terms, lang:, and date-range filters, with retries, timeouts, and structured errors.

MCP server that enables natural-language SQL queries across multiple databases (ClickHouse, Teradata, PostgreSQL, MySQL, SQL Server, DB2, Oracle, MongoDB) with dialect-correct SQL generation, PII masking, and security-by-construction controls.

Enables AI to automatically search, retrieve, and organize your Cursor chat history across sessions. Supports tagging, nicknames, project-scoped search, and full-text search to maintain context between conversations.

A conversational chat interface that uses RAG over a synthetic test corpus and a domain-knowledge corpus, exposing retrieval via MCP.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Enables AI agents to perform web search, page fetching, and multi-source research via the official search and fetch API, with deduplication, content limits, caching, and rate limiting.

Exposes DeepSeek's Search and Fetch REST APIs as two read-only MCP tools, letting any MCP-capable agent run ranked web searches and retrieve individual pages as truncated Markdown. Works with whichever model the host runs, over stdio or Streamable HTTP.

Enables any MCP-compatible AI coding client such as Claude Code, Codex, or Cursor to run web searches and fetch pages as Markdown through a self-built search engine, with per-day and per-month spend caps, prompt-injection fencing on retrieved content, and local usage/cost reporting. Search results can be filtered by site, language, and date, and repeated page fetches within a short window are not billed twice.

Enables real-time web search via DeepSeek's server-side tool without requiring additional search API keys.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.