Provide a dedicated MCP server focused on delivering capabilities related to Anirudh Kamath. Enable seamless integration with the Model Context Protocol to expose tools, resources, and prompts tailore
Cryptographic authorization for AI agents. Scoped delegation, checkpoint escalation, Ed25519 signed receipts. Block prompt injection at the tool boundary.
Provide a test implementation of the Model Context Protocol server to facilitate development and integration. Enable clients to interact with tools, resources, and prompts through a standardized JSON-
MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.
A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-archit
Extract structured data from any website. Just prompt and get JSON.
A zero-cost MCP server that forces AI to self-correct generation messages using prompt injection, independent self-audition and context isolation.
Provide a simple notes system with capabilities to create, list, and summarize text notes. Enable easy management of notes as resources and generate summaries using prompts. Facilitate integration wit
Comprehensive MCP server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters.
Enable seamless integration of language models with external tools and resources through a standardized protocol. Facilitate dynamic access to data, execution of actions, and retrieval of prompt templ
Beelzebub is a honeypot framework that lets you build honeypot tools using MCP. Its purpose is to detect prompt injection or malicious agent behavior. The underlying idea is to provide the agent with
Provide a scaffolded environment to develop and run MCP servers with ease. Enable rapid prototyping and integration of tools, resources, and prompts for LLM applications. Simplify MCP server setup and
Provide a test implementation of an MCP server to validate and demonstrate MCP protocol features. Enable developers to experiment with MCP interactions and verify tool, resource, and prompt handling.
Enable seamless integration of Workday data and services with language models through a standardized protocol. Facilitate dynamic access to Workday resources, tools, and prompts to enhance automation
Provide up-to-date, version-specific code documentation and examples directly within your prompts to improve coding accuracy and reduce hallucinated APIs. Seamlessly integrate with your preferred MCP
Zerion API's MCP server provides access to onchain wallet data across Ethereum, Solana, and all major EVM chains. Add the server and prompt your AI agents about portfolios, token balances, DeFi positi
Fetch up-to-date, version-specific documentation and code examples directly into your prompts. Enhance your coding experience by eliminating outdated information and hallucinated APIs. Simply add `use
Provide a local MCP server that enables integration of LLMs with external tools and resources via standard input/output. Facilitate dynamic access to files, actions, and prompt templates to enhance LL
connects QGIS Desktop to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more.
Scans GitHub repositories and skills for vulnerabilities like prompt injection, malware, and OWASP risks. Identifies security threats in external dependencies to ensure software health. Provides detai
Send friendly, personalized greetings on demand. Generate quick salutations with a simple prompt. Explore the origin story of 'Hello, World' for extra context.
Query and summarize your chat messages with AI prompts.
Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.
Record and share your AI-driven development journey. Auto-saves project milestones with summaries, generates structured AI prompts via 5-question planning, and publishes to [pmptwiki.com](https://pmpt