Context7

vlatest

io.mcp-cn.upstash/context7-mcp

基于Upstash的向量搜索和上下文管理MCP服务

Gread

vlatest

io.smithery.nitrofire-q.gread

Gives your AI access to the source code of all public github repos. - Plug and Play: Compatible with all popular coding agents and MCP clients, ready to use out of the box - Skill and MCP: Both Skill and MCP are provided, connect with either option - Docs Integration: Automatically recognizes docs repo and provides them along with the main repo when accessed

Mastra MCP

vlatest

io.mcp-cn.mastra/mcp-docs-server

mastra MCP服务器，支持mastra.ai生态

io.mcp-cn.mcp-deepwiki

非官方的DeepWiki MCP服务器，通过MCP接收DeepWiki URL，爬取所有相关页面并转换为Markdown格式，可返回单个文档或按页面列表返回

PreReason

vlatest

io.smithery.prereason.briefings

Financial context your AI actually understands. Your agent stops guessing. Numbers are AI's weakest input. PreReason delivers language, its strongest skill. One API call returns a pre-reasoned briefing with trend signals, confidence scores, regime classification, and causal narratives. Not raw data to parse. Context to act on. **17 briefings** - BTC price, on-chain, mining economics, macro indicators (Fed, M2, yields, VIX, DXY) analyzed as BTC relationship signals **30 metrics** - each with signal interpretation, 7d/30d/90d trends, percentile rankings, and momentum **6 agent prompts** - daily briefing, risk check, mining profitability, regime classification, correlation scan, weekly recap Markdown output (~60% fewer tokens) or structured JSON. Sub-second latency. Free tier with no credit card. * Website: https://www.prereason.com * API Docs: https://api.prereason.com/api/docs * Pricing: https://www.prereason.com/pricing

Keenable Web Search

vlatest

io.smithery.keenable.web-search

Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key. Tools: - search_web_pages: Search the web and return ranked results. - fetch_page_content: Fetch an indexed URL and extract its content as clean markdown

lanonasis-mcp

vlatest

io.smithery.lanonasis.lanonasis-mcp

Manage long-term memory across projects with fast semantic search and retrieval. Create, update, and organize memories, then query them to ground your workflows with relevant context. Control API keys and configuration, monitor system status, and instantly search the LanOnasis docs when you need guidance.

io.mcp-cn.shelm/wikipedia-mcp-server

Wikipedia MCP服务器，提供与维基百科API的交互能力，包括文章搜索、内容获取、历史事件查询、图片检索等功能

DeepWiki

vlatest

io.smithery.deepwiki

Explore GitHub repository documentation by topic to quickly understand any project. Open pages on demand and ask questions to get concise answers. Find what you need faster across complex wikis.

Multi-Carrier Shipping API — powered by Secureship

vlatest

io.smithery.secureship.docs

Secureship MCP gives AI assistants access to a multi-carrier shipping API covering rate comparison, label generation, package tracking, pickup scheduling, address book management, shipment history, customs documents, and more — across carriers like UPS, FedEx, Purolator, Canpar, and others. Browse 150+ live endpoint schemas, parameters, and auth details — always current, never stale. Secureship isn't just for shipping with one carrier — it's a multi-carrier shipping platform, and this MCP server gives AI assistants full access to the API documentation for every supported action: compare rates across carriers, generate shipping labels, track packages, schedule pickups, manage address books, review shipment history, produce customs documents, handle invoices, and even perform actions available on the Secureship web dashboard — all through a single API. The MCP documentation server exposes live endpoint metadata pulled directly from the running application — not static docs that go stale. That means AI assista

Vector Search — In-Memory TF-IDF Semantic Store

vlatest

io.smithery.axel-belfort.vector-search

In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight alternative to Pinecone/Weaviate for small datasets. Tools: data_vector_search. Use this for building simple RAG systems, document matching, or semantic search over small collections (< 10K docs). IMPORTANT: For web-wide search, use web_search_query instead. Returns: {results[], scores[], matchCount}. No API key required — x402 micropayment $0.005/call on Base L2.

vaaya

vlatest

io.smithery.vaaya.vaaya

Vaaya is the agent payment system: one MCP server that lets any agent call paid APIs — image/video generation, product demo videos, web search & scraping, deep/market research, lead enrichment, GTM outreach, sandboxes, browser automation, email — pay-per-call, no API keys Agent docs: https://vaaya.ai/llms.txt

io.smithery.aws.docs

暂无描述

memxus

vlatest

io.smithery.memxus.memxus

**Memxus** is multi-platform persistent memory for AI assistants. Save project context, preferences, and decisions once — recall them in Claude, ChatGPT, Cursor, and other MCP clients. ## What it does - **Remember** — store facts, preferences, and project context with collections and tags - **Recall** — semantic search across your memories - **Get context** — formatted context blocks for the current topic - **Manage** — list, inspect, update scope, and delete memories ## Connect - **OAuth** (recommended): sign in with Google via your Memxus dashboard - **API key**: create an `aimem_*` key at [dashboard.memxus.com](https://dashboard.memxus.com) **MCP endpoint:** `https://mcp.memxus.com/mcp` **Docs:** [memxus.com/docs/mcp](https://www.memxus.com/docs/mcp) **Install:** [memxus.com/install](https://www.memxus.com/install) **Privacy:** [memxus.com/privacy](https://www.memxus.com/privacy) ## Tools `remember`, `recall`, `get_context`, `list_memories`, `get_memory`, `list_collections`, `forget`, `memory_sta

Google Docs

vlatest

io.smithery.googledocs

Google Docs is a cloud-based word processor with real-time collaboration, version history, and integration with other Google Workspace apps

Context7

vlatest

io.smithery.upstash.context7-mcp

Fetch up-to-date, version-specific documentation and code examples directly into your prompts. Enhance your coding experience by eliminating outdated information and hallucinated APIs. Simply add `use context7` to your questions for accurate and relevant answers.

byteaskai

vlatest

io.smithery.kulkarnianirudha8.byteaskai

# ByteAsk Embedded Docs MCP Page-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and firmware engineering references for AI coding agents. **Registry Namespace:** `ai.byteask/embedded-docs` **Endpoint:** `https://mcp.byteask.ai/mcp` **Documentation:** https://docs.byteask.ai/embedded **GitHub:** https://github.com/ByteAsk/ByteAsk-Embedded-MCP --- # Why This MCP Exists Modern AI coding agents are excellent at generating code, but often struggle when working with vendor-specific embedded documentation, hardware reference manuals, firmware SDKs, and coding standards. Embedded engineers routinely need answers from: * STM32 Reference Manuals * ARM Cortex-M Technical Reference Manuals * CMSIS Documentation * FreeRTOS Documentation * Zephyr Documentation * ESP-IDF Documentation * Nordic SDK Documentation * NXP Documentation * MISRA C * MISRA C++ * AUTOSAR * Device Datasheets * Vendor Application Notes Searching these sources manuall

io.github.vish288/mcp-coda

MCP server for Coda API — docs, pages, tables, rows, formulas, permissions, and automation.

com.ezoic/setup

Ezoic ads implementation assistant: integration docs, SDKs, and working, copyable setup code.

io.github.sluyasu/openinsurance-wiki

Open, source-cited knowledge base of Belgian insurance products: search, compare, verify, overlaps.

io.github.Jackalope-Dev/moxie-docs

Living docs and MCP context for GitHub repos — conventions, gaps, and source-cited pages on merge.

com.senzing/mcp

Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting

io.github.hoornet/agentdocs-mcp

MCP server for AgentDocs (agentdocs.eu): read, search, write, comment on & share Markdown docs.

io.github.bernie-b1stAI/b1brain-wiki

Curated GitHub repo corpus with DaVinci insights. Featured=deep analysis; Overview=orientation.