"Yahoo Finance MCP (Model Context Protocol) Server" matching MCP servers:

An event-driven MCP server that enables agents to share context streams, publish and subscribe to events, manage tasks, and follow protocols, keeping a fleet of agents mutually context-aware in real time.

Read-only MCP server for searching Yahoo! Shopping products through the Yahoo! Shopping Item Search API v3. It supports keyword and JAN-code search with price, stock, condition, shipping, sorting, category, brand, seller, image-size, and pagination filters.

IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real

A persistent memory system for Large Language Models (LLMs) that enables continuous learning and knowledge retention across sessions through the Model Context Protocol (MCP).

Provides live financial data for any LLM agent, including stock quotes, crypto prices, SEC filings, XBRL financials, FX rates, and macro indicators, through ten MCP tools.

Read-only MCP server for the ITIN finance network, providing a verified institution directory, editorial guides, FAQs, and state-level context for ITIN holders seeking loans and credit cards.

Trust infrastructure for the agent economy.

An MCP server that gives AI assistants read access to real brokerage accounts and market data, with 39 tools for prices, technical analysis, SEC filings, and macro indicators, while order execution requires human approval via a separate dashboard.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

MCP server providing lossless file reads with deduplication, per-repo token metering, and HMAC-signed context receipts. Enables auditable, vendor-neutral measurement of what an AI agent saw.

Provides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.

fulcra-context-mcp

Aggregator MCP proxy that collapses N downstream MCP servers into 4 meta-tools with progressive tool discovery, and compresses large tool outputs (HTML→Markdown, JSON summarization) with full-output retrieval via read_more and a per-session token-savings report.

Durable project-memory MCP: decisions, constraints, and pipelines across Claude sessions

A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.

Temporal knowledge graph for codebases that captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook.

Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.

Read-only repository context explorer for coding agents. Provides repository exploration tools via CLI or MCP adapter.

This MCP server provides tools to manage, score, compress, and prune AI agent conversation context, helping keep agents focused and reduce token costs. It is a free, local, pure Python solution for any MCP client.