MCP TypeScript Implementation
A TypeScript implementation of the Model Context Protocol for the Personal Intelligence Framework.
A TypeScript implementation of the Model Context Protocol for the Personal Intelligence Framework.
File conversion for AI agents: office docs to PDF, PDF to Word, document interchange, and audio/video transcodes via the hushvert hosted API.
Graph-powered code intelligence MCP server with semantic search, knowledge graph, and dependency analysis for Claude Code, Cursor, and Copilot.
Enables natural language interaction with Hunter's B2B data via its API.
jDocMunch-MCP lets AI agents navigate documentation by section instead of reading files by brute force.
Browser automation using Playwright, enabling LLMs to interact with web pages through structured accessibility snapshots.
Provides utility functions for common tasks like text processing, encoding, decoding, hashing, and system information.
Integrate Hygraph directly into MCP-compatible tools like Claude and Cursor, executing content operations via natural language
MCP server that provides read-only access to HyperKitty, the web-based email archive component of Mailman 3.
A spellchecker and grammar checker for developers, requiring a Hyperspell token for authentication.
A TypeScript MCP server for integrating with the AntBot AI-based RPA platform, handling tool listing and execution.
A demonstration MCP server implementation in Go featuring real-time bidirectional file communication.
A Three-Layer Memory Architecture for LLMs (Redis + Postgres + Vector) MCP
Lets your model (or autonomous agent) browse the web, run searches across many engines at once, and surface images directly in your front end.
An MCP (Model Context Protocol) server that enables LLMs to interact with VAST Data storage APIs. This server exposes VAST Data management endpoints as tools…
A server for interacting with the Hyperweb platform and its tools using AI agents.
The most robust Jira MCP safe for internal corporate use.
A Python library for building gRPC/ConnectRPC services with Pydantic models, featuring automatic protobuf generation and AI assistant tool exposure.
MCP-based SSH session manager for Linux backend teams
Generate, render, and manipulate D2 diagrams with incremental editing capabilities.
Manage Jitsu data pipelines from your agent: create destinations and streams, inspect live events, and edit transformation functions.
Enables AI assistants to call any REST API or gRPC service by automatically converting their schemas into MCP tools.
Proves AI-generated Python does what you asked: state the intent as assertions and the server runs the code in a locked-down container, returning a fix only…
Persistent identity and memory across AI tools - mcp-native, local-first, framework-agnostic, production-ready.