"Information about CoinGecko API or Node Integration" matching MCP servers:

Enables tracking cryptocurrency assets and market snapshots, fetching current prices with caching and refresh, querying stored history, and generating bounded deterministic market briefs through MCP tools backed by a file-first store and SQLite cache.

MCP server that enables AI clients to orchestrate multi-node LAN agents, with tools for remote command execution, file transfer, task delegation, and cross-node collaboration.

Enables agents to accomplish multi-step work by writing a single sandboxed JavaScript program that drives shell, filesystem, HTTP, and every tool of any configured MCP server, returning only a small summary instead of raw JSON. This collapses dozens of advertised tool schemas into one tool, cutting per-request context by roughly 26× while keeping disabled upstream servers reachable.

A Node.js MCP server that provides tools for interacting with the Sienge API, covering modules like nucleus, cadastros, and compras with parity validation against the Python version.

Gives Claude Code a live Node.js debugger over the V8 Inspector protocol, letting it launch or attach to a running process, set conditional breakpoints, step through execution, inspect scopes and stack frames, evaluate expressions in a frame, and read stdout/stderr — with no instrumentation added to the code.

Local deterministic BM25 memory for AI agents — offline-first, no API key, SHA-256 content-addressed shards, stdio MCP transport. Same query always returns the same ranked result.

MCP server for IG's REST Trading API and Lightstreamer streaming API. Provides tools for accounts, markets, positions, orders, watchlists, sentiment, OTC trades, and streaming price/account/trade/chart data.

MCP server enabling LLMs to interact with a Cardano node by wrapping cardano-cli/torsten-cli, supporting queries, transactions, staking, and governance operations.

Enables running Node.js scripts and npm commands with permission prompts via node-notifier, including server management, script execution with stdin, and npm package documentation fetching.

Exposes enterprise tools to third-party AI agents through a single guard that authorizes each call against default-deny, purpose-scoped entitlements, executes it, and writes a hash-chained, tamper-evident decision trace the firm owns. It also verifies signed vendor webhooks and enforces a strict versioned contract, so agent activity stays scoped, auditable, and portable across vendors.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

Enables coding agents to publish hierarchical project plans and task status changes to a mobile app in real time, letting developers monitor progress and blockers without checking their computer.

Implements the Model Context Protocol to retrieve context from a locally running Llama model, enabling AI applications to query and receive relevant information.

Enables voice-controlled Instagram account management from the Mac notch, including reading insights, comments, DMs, and publishing photos or carousels via natural language, with scheduled publishing and secure photo handling.

Enables searching and accessing Dash documentation directly, with tools to list docsets, search snippets, load pages, and enable full-text search.

Enables read-only MCP access to BlueSurf, letting agents list projects, search assigned tickets, retrieve ticket details, list attachments, and download attachments.

MCP server for debugging Node.js programs through the V8 Inspector Protocol, allowing AI agents to set breakpoints, inspect variables, and step through code.

A lightweight server for managing local workspaces through file operations, Git version control, and Node.js development commands. It enables users to manipulate files, track repository status, and execute build or dependency scripts within their development environment.

A simple MCP server demonstrating resources, tools, and prompts using a local task list. It enables reading, creating, and analyzing tasks through MCP.

A simple MCP server for managing tasks via a local JSON file, demonstrating resources, tools, and prompts for task reading, creation, and analysis.