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Controls the Stata GUI through Windows Stata Automation COM, enabling do-file management, command execution, and data analysis within natural language workflows.

I gave Claude a mass grave of 200 markdown files and now it remembers my entire project between sessions. No cloud, no API keys, one 10mb Go binary, and private. Stateless Agent Memory Engine is your synapse to the CLI.

A Model Context Protocol server implementation for Stability blockchain that enables AI agents to interact with Stability Protocol without gas fees.

An MCP Server that enables multi-agent conversation interactions with the Stellastra API, auto-generated using AG2's MCP builder.

An MCP server that enables AI assistants like Cursor and Claude to interact with the Storyblok Management API. It allows users to manage stories, tags, components, assets, and workflows through natural language commands.

AI cover letter generation for agents. 5 composable tools that analyze job postings (15+ structured fields), match candidate profiles against roles, generate story-driven cover letters using narrative archetypes, and quality-score the results. Supports English, German, Spanish, and Portuguese. The first production MCP server for job applications.

A multi-agent book-writing MCP server that manages a guarded chapter pipeline (writer → editor → third-pass agents → approve) with project planning, continuity tracking, and export/diff helpers.

Integrates with the Strava API to allow AI assistants to access fitness data including athlete profiles, activity history, and segment statistics. It enables users to query detailed performance metrics and explore geographic segment data through natural language commands.

Enables AI assistants to retrieve and display Strava activity data including workout details, distance, time, and dates. Currently uses sample data but can be extended for real Strava API integration.

Enables users to interact with their Strava data through natural language to analyze workouts, track fitness progress, and explore routes. It supports retrieving detailed activity stats, heart rate data, and segment insights directly within AI assistants.

Implements a Model Context Protocol server that enables streaming communication between Azure OpenAI GPT-4o and tool services, allowing for real-time intelligent tool usage via Server-Sent Events.

Enables complete StreamSets Control Hub integration through conversational AI, allowing users to manage data pipelines, monitor jobs, and interactively build new pipelines with 44 tools across 9 StreamSets services. Features persistent pipeline builder sessions that let users create complete ETL workflows through natural language conversations.

全面解析String Catalog MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，String Catalog MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A Context Engineering Framework that provides 9 battle-tested development workflows with smart validation to help AI models follow consistent processes.

Enables AI assistants to manage student registration through natural language commands. Supports registering new students, listing all students, and retrieving specific student information with data validation.

AI memory server with 53 tools. Knowledge Graph, semantic search, session tracking, multi-agent support.

Agent-friendly semantic classification of all subgraphs on The Graph Network. Pre-computed index of 15,500+ subgraphs with domain classification, protocol type detection, schema fingerprinting, canonical entity mapping, and composite reliability scoring.

Enables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.

A service that enables agents to build deterministic workflows across apps, databases and APIs using natural language, handling schema mapping, drift detection, and execution of integration pipelines automatically.

A powerful orchestration layer for Model Context Protocol (MCP) servers that enables AI assistants to dynamically discover, inspect, and interact with multiple MCP servers through a unified interface.