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A Multi-Agent Conversation Protocol server that enables users to interact with the Redeal.io analytics API through natural language, automatically generated using AG2's MCP builder.

Enables interacting with a Redmine instance via REST API, allowing issues, projects, time logging, and generic endpoint calls through an MCP agent.

Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. Self-hosted. 100% on LoCoMo benchmark.

Enables AI assistants to analyze and inspect RenderDoc capture files, providing tools to examine draw calls, textures, buffers, and shader information. It allows developers to perform graphics debugging and resource analysis through natural language interactions.

Formats AI agent outputs into professional reports, emails, and documents with branding, quality validation, and executive summaries for enterprise AI operations.

Enables autonomous agents to discover and bid on unused LLM token quota through a machine-to-machine secondary exchange protocol. It utilizes a Proof-of-Residue handshake to verify compute capacity and facilitate the real-time acquisition of verified residue tokens.

Enables AI assistants to intelligently fetch, parse, search, and rank resumes from email attachments. Supports multi-format resume parsing (PDF, DOC, DOCX), multi-dimensional searching by keywords, position, skills, and experience, with statistical analysis capabilities.

MCP server for Autodesk Revit (BIM) with 705+ API endpoints. Enables AI agents to create walls, place doors/windows, generate sheets, manage views, and produce construction documents via the Model Context Protocol. Uses named pipes for zero-crash Revit integration.

Allows AI assistants to interact with Autodesk Revit through the MCP protocol, enabling the AI to create, modify, and delete elements in Revit projects.

A basic implementation of a Model Context Protocol server that demonstrates core functionality with simple math tools (add, subtract) and greeting resources for AI assistants like Claude.

Discover and evaluate APIs for AI agents with AN Score, then access them through MCP or REST with zero-signup discovery and managed execution paths.

Structured business ontology giving AI agents deterministic access to institutional reasoning — 18 MCP tools, Dolt backend, 0% → 100% \\\"why?\\\" recall vs Markdown+RAG.

An HTTP-based Model Context Protocol server for RiotPlan that exposes comprehensive planning tools, resources, and prompts for AI agents. It enables full plan lifecycle management, including ideation, shaping, execution tracking, and retrospective generation.

Extract YouTube transcripts for AI agents, RAG pipelines, and LLM workflows. Supports any YouTube URL. Returns clean text or timestamped segments. No API keys required.

A Model Context Protocol server that helps users create, validate, and optimize AI prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).

Enables AI assistants to interact directly with Roblox Studio to explore project hierarchies, edit scripts, and perform bulk object manipulations through over 37 specialized tools. This enhanced fork features long polling for near-instant responses and improved support for script editing and attribute management.

Enables AI agents to control RoboDK robotics simulation software, allowing them to manage stations, add robots, and inspect station hierarchies through natural language commands.

Enables robots to store, retrieve, and consolidate episodic experiences including physical parameters, trajectories, and outcomes. It supports hybrid vector search with structured filtering and spatial sorting to help robotic agents learn from past successes and failures.

Enables AI agents to develop, test, and certify Roku applications by providing direct control over device functions like app deployment, remote input, and SceneGraph inspection. It supports automated workflows including real-time log collection, media monitoring, and certification verification.

Enables AI assistants to interact with MikroTik RouterOS devices through API and SSH connections, supporting network monitoring, configuration management, and diagnostics across multiple routers with automatic connection fallback.