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Enables Large Language Models to search proprietary and web sources for information and submit feedback on transactions via the Valyu Network API.
Enables the creation and management of surveys within the Claude Desktop Client by acting as an MCP server.
Enables Claude to interact with Strava data, providing access to activities, details, kudos, and laps.
Connects agents to Elasticsearch data, enabling natural language interaction with indices through the Model Context Protocol.
Provides access to the Hugging Face datasets API for comprehensive querying, exploration, and analysis.
Enables large language models to inspect PostgreSQL database schemas and execute read-only queries.
Provides a robust Model Context Protocol agent for integrating web search capabilities into AI applications and research workflows.
Enables natural language semantic search and detailed metadata filtering across a Pinecone vector database of economic books and academic papers.
Enables AI assistants to interact with blockchain data and smart contracts through the MultiBaas platform.
Provides comprehensive system information including CPU, memory, disk, network, and process data for AI agents to monitor and interact with Linux servers.
Provides authoritative refund eligibility signals for US consumer subscriptions through a stateless, deterministic API.
Connects TrainingPeaks accounts to AI assistants, enabling natural language queries for workout analysis and fitness data retrieval without API approval.
Streamlines initial polymer discovery through an LLM-aided multi-toolkit approach.
Prevents AI coding agents from hallucinating outdated model names by providing instant access to accurate API model IDs, pricing, and specifications for over 46 models across 7 providers.
Renders interactive 2D molecular structure diagrams from SMILES notation using RDKit.js, directly within a chat interface.
Analyzes university business incubators' performance, socio-human structures, and dynamic capabilities using a multi-theoretical framework.
Provides an adaptive error memory and code intelligence server, leveraging a Hebbian synapse network for cross-project learning and auto-error detection.
Assess AI training data quality, detect bias patterns, evaluate dataset provenance, and analyze data pipeline integrity for machine learning systems.
Provides an agent-native retrieval engine that combines hybrid vector, reasoning, and memory capabilities specifically for AI agents.
Perform AI-powered local file searches on Windows, locating documents by their content and meaning entirely offline.
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