"Analyser les données des marchés boursiers pour améliorer les stratégies d'investissement" matching MCP servers:

Enables querying the Pour Picks bourbon & whiskey database with tools for search, bottle details, recommendations, comparisons, and trending, providing structured tasting profiles, prices, pairings, and ratings.

A memory-efficient MCP server for analyzing large JSON files with streaming, querying, schema detection, and chunk processing.

Enables efficient reading, analyzing, and querying of Excel, CSV, and JSON files with support for chunked processing, column/field filtering, and streaming for large datasets. Supports multiple transport protocols (stdio, HTTP, SSE) for flexible integration.

AI-powered pipeline that analyzes user stories and PRDs for gaps, ambiguities, and missing acceptance criteria before coding, with MCP tools for requirement analysis and risk reporting.

A standardized MCP server designed for testing integration with the Des MCP Server Testing API. It allows AI agents to interact with testing endpoints using tools implemented via the Model Context Protocol.

Analyses your published writing from a sitemap, extracts a corpus, and generates a Claude Skill so Claude writes in your voice.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

MCP server that enforces single-use human confirmations for sensitive tool calls, sanitizes prompts against prompt injection, and re-validates file paths before destructive actions.

Enables AI agents to search, explore, and analyze Québec open data (Données Québec, Ville de Montréal, IGO) via natural language, including SQL queries, geocoding, and spatial operations.

A read-only Postgres MCP server that parses SQL to block write statements and prevents bypasses by refusing connections with write privileges.

Enables LLM agents to safely reclaim disk space by deleting build artifact directories like node_modules, .venv, and target, with strong guardrails to prevent accidental or malicious deletion.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Enables analyzing Codeforces activity through local MCP tools, including weekly practice summaries, problem recommendations, user comparisons, weak-topic detection, contest tracking, and rating progress.

MCP server built with Mastra that analyses all URLs of a website from a given URL and groups pages by templates.

Enables AI agents and IDEs to ingest and search code repositories using hybrid retrieval (dense + sparse) with exact line-level citations for precise code analysis.

Analyzes German Bundestag parliamentary group membership distribution via the DIP API and exposes analysis through MCP tools for natural language interaction.

Create designed Figma Slides by chatting with GitHub Copilot or Claude. It generates polished, multi-layout decks with 31 layouts and 17 design systems directly in Figma.

Enables AI agents to perform grounded web research with injection resistance, claim verification, and cost-aware routing through MCP tools like web_search, fetch_url, extract_claims, and check_grounding.

A read-only Figma MCP server for GitHub Copilot that renders screenshots locally inside Figma via exportAsync, avoiding any public S3 URLs or outbound HTTP. It provides 9 tools to inspect Figma files, components, variables, and FigJam boards through a private tunnel.

Serveur MCP exposant 4 ESP32-CAM d'atelier à Claude Code, permettant de lister les caméras, prendre des photos, consulter le statut technique et contrôler les LEDs flash.