LangChain (TypeScript)
Enable LangChain workflows for your MCP client.
Directory
Enable LangChain workflows for your MCP client.
Converts OpenAPI specifications into LangChain tools, enabling AI assistants to interact with existing REST APIs without custom implementation
Provides a documentation search tool that retrieves the latest Python library documentation from LangChain, LlamaIndex, and OpenAI through targeted Google…
Provides AI systems with access to documentation from llms.txt files by fetching and parsing content from specified URLs, enabling seamless documentation…
Provides semantic search capabilities for local files and directories using vector embeddings and efficient storage techniques.
Enhances coding capabilities by providing context-aware suggestions and documentation integration through code analysis, technology detection, and intelligent…
Enables AI systems to access and retrieve information from multiple vector store backends including HNSWLib and Weaviate, providing a unified interface for…
TypeScript server implementation that enables development tools to understand and interact with project structures, providing resources for analyzing metadata…
This TypeScript-based server implements a simple notes system, allowing users to create and manage text notes and generate summaries, showcasing core MCP…
Enables DevOps teams to manage Higress API gateway configurations through natural language commands with human-in-the-loop validation for sensitive operations
Integrates with Google BigQuery and BigQuery Storage to enable efficient execution of SQL queries, schema retrieval, and large-scale data analytics on cloud…
Enables HR departments to provide workplace policy information through a RAG-based chatbot that indexes, retrieves, and generates answers from PDF…
It is a web application project generated by Lovable, built with Vite, TypeScript, React, shadcn‑ui, and Tailwind CSS. It is intended for developers who want…
Provides a TypeScript-based development environment for creating, testing, and refining structured prompts locally before production deployment.
Provides file operations for reading, writing, and editing on host systems.
Enables AI-assisted Node.js and TypeScript development optimized for popular frameworks, offering code generation, debugging, and project management…
Provides a bridge to the Datadog API, enabling metrics and logs retrieval for monitoring and observability workflows using TypeScript and Bun runtime.
Integrates with Jira and Linear issue tracking systems to enable retrieval and interaction with tickets directly within conversations, eliminating context…
Integrates note-taking capabilities with AI models using TypeScript and DynamoDB for persistent memory and context management in applications.
A server that allows AI agents to interact with the Tally API to access DAO governance data, proposals, and metadata using Model Context Protocol (MCP), built…
Provides a minimal foundation for building server implementations using Bun and TypeScript with stdio transport and extensible resource configuration
Provides a bridge to Atlassian JIRA for retrieving issue details by key using TypeScript and JSON-RPC requests over stdio transport.
Provides a TypeScript-based server for dynamically creating, booting, and controlling iOS simulators using the Appium iOS Simulator library, enabling flexible…
Extracts and processes web content using TypeScript, Cheerio, and Turndown for tasks like scraping, summarization, and data transformation.