"WEMO" matching MCP servers:

A production-style MCP server that lets Claude Desktop search your local documents using TF-IDF keyword search. No heavy frameworks, just plain Python and the official MCP SDK.

Enables AI assistants to answer customer questions from a shop's own product catalog, FAQs, and policy documents, with read-only access and cited answers.

Enables querying and comparing the first 25 Pokémon from the Kanto region, providing base stats, evolution chains, and type filtering via natural language.

A FastMCP server with web search, local notes CRUD, and a generative UI dashboard using Prefab.

Provides governed, deterministic SQL tools over DuckDB for querying sales pipeline data, returning verified results with full source traces. Enables trustworthy natural-language queries about Q1 2026 sales data.

Enables searching Armenia's largest classifieds site across every category, reading full ad details, and saving searches to surface only newly posted listings. It also exposes category filters and batch ad lookups, letting MCP clients compare candidates and track changes over time.

Enables read-only document retrieval and SQLite exploration through tools over stdio, enforcing a safety gate before SQL execution.

Enables LLM agents to search and retrieve a hybrid knowledge base of manuals, videos, PDFs, DOCX files and images through tools for hybrid BM25-plus-vector search with facet and tag filters, full document retrieval, semantically similar document lookup, and timestamped video transcript segments. It ships with an in-memory backend for instant local use and an identical Elasticsearch backend for production deployment over stdio or authenticated HTTP.

Enables AI-powered analysis of sales call transcripts through natural language queries, allowing users to search conversations, identify objections, and extract insights from customer calls without manually reviewing recordings.

Local-first semantic memory with MLX embeddings, hybrid search, knowledge graph, and MCP server. Durable semantic knowledge with recall hooks and CLI.

Enables web search capabilities through the Tavily API and serves as a demonstration platform for building custom MCP tools. Designed for educational purposes to showcase MCP server development and LangGraph integration.

A TypeScript implementation of the Model Context Protocol server that enables searching arXiv papers and extracting paper information through standardized client-server communication.

A monorepo containing three Model Context Protocol (MCP) servers that enable natural language interaction with databases, GitHub repositories, and time/timezone services.

Enables users to create rich country profiles by searching for high-quality images through Unsplash API and gathering country information through web search. Generates beautiful markdown profiles with embedded images and photographer credits.

A simple demonstration project for the Model Control Protocol (MCP) server that provides tools for AI assistants to fetch news articles, perform calculations, retrieve weather data, and generate personalized greetings.

Enables LLMs to interact with ERDDAP search, metadata, and tabledap services for oceanographic data.

Enables MCP clients to list, search, and read SEC 10-K filings, returning relevant passages with company, fiscal year, section path, and SEC URL citations so answers can be grounded in source documents.

An MCP server providing live GitHub repository and issue search tools, with production-grade features like config validation, structured logging, authentication, and support for both stdio and HTTP transports.

Full-stack bookstore API with MCP tools for inventory, orders, and members, enabling LLM agents to search books, check stock, and manage orders through natural language.

Enables Salesforce Agentforce agents to find compatible replacement batteries, check store inventory, and create store visit summaries for battery service handoffs.