Create and send proposals via AI using the Offorte API.

Provides a stdin/stdout server that implements the Model Context Protocol for communication with the Routine application.

Provides seamless OAuth authentication and full CRUD capabilities for any Salesforce object, allowing AI assistants to read, write, query, and back up Salesforce data through a generic Model Context Protocol interface.

Enforces .mcpignore patterns to restrict MCP client file system access while providing full read/write and directory operations.

Provides MCP tools to install, remove, update, and query apt packages on Linux through a TypeScript server.

Programmatically generate Spring Boot projects with custom configurations and download them, supporting Maven or Gradle, Java/Kotlin/Groovy languages, various Java versions, and optional automatic extraction of the ZIP archive.

Provides a bridge between Azure OpenAI's DALL‑E 3 image generation capability and MCP clients, enabling generation and download of images via defined tools.

Enables AI models to perform job‑search queries through a lightweight MCP server that can be accessed by Claude Desktop or OpenAI tools.

Check and revoke ERC‑20 token allowances across multiple EVM‑compatible blockchains, providing visibility into token approvals and enabling secure removal of unnecessary permissions.

Provides a stdio transport proxy for the remote LunarCrush MCP Server, enabling AI‑driven insights and data streams for cryptocurrencies, stocks, and social‑media metrics.

Offers a unified JSON interface for Ergo blockchain data by converting heterogeneous API responses (JSON, Markdown, plain text) into a consistent structure and adds advanced analytics such as address clustering, token history tracking, and token‑estimation for LLM‑friendly usage.

Provides access to Lark Bitable tables via the Model Context Protocol, enabling users to list, describe, and query tables with predefined tools.

Provides tools to start, stop, and query Toggl time entries through a Model Context Protocol server.

Enables AI agents to securely access and manipulate enterprise data and services via a unified MCP and OpenAPI bridge, supporting real‑time streaming, Azure Private Link, and modular custom APIs.

Provides a standardized interface for interacting with Braze's tools and services through a unified API using the Universal MCP framework.

Provides a standardized interface for interacting with DigitalOcean services through a unified MCP API.

Provides a standardized API for accessing Falai's tools and services via the Universal MCP framework.

Provides a standardized API for interacting with Google Docs tools and services via the Universal MCP framework.

Provides a standardized interface to interact with Google SearchConsole tools and services through a unified API built on the Universal MCP framework.

Provides a Stockfish-powered chess engine accessible via MCP, enabling clients to request the best move, validate moves, retrieve legal moves, and obtain game status through SSE or stdio transports.

Enables AI desktop applications to read and select Revit model elements through a set of predefined micro‑tools, integrated directly into the Nonicatab toolbar.

Enables AI models to interact with Verodat's data management capabilities through a set of standardized tools for retrieving, creating, and managing datasets.

Provides a Model Context Protocol bridge that connects AI assistants directly to the HiveFlow automation platform, enabling AI‑driven creation, execution, and management of automation flows via standard tool calls.

Enables LLM agents to manage serverless cron jobs through the Cronlytic API, offering health checks, full CRUD operations, job control, log access, and ready‑to‑use prompts.

Provides weather, climate, air quality forecasts and geocoding utilities via an MCP FastAPI server.

Provides tools for creating, retrieving, and managing AI agent memories through a Model Context Protocol server.

Creates MCP servers from OpenAPI/Swagger specifications, allowing AI assistants to call your APIs directly.

A Python-based MCP server that provides real-time security advice about Python modules by querying multiple authoritative vulnerability databases.

Provides AI assistants with direct access to Linear's project management resources—issues, projects, teams, users, roadmaps, and more—through the Model Context Protocol.

Enables structured data queries across multiple OPTIMADE material databases using configurable filter presets and provider endpoints, with natural‑language support and result summarization.

Provides powerful query capabilities for TOS, enabling natural language exploration and retrieval of stored content, improving data access intuitiveness and efficiency.

Provides a clean, type-safe interface to interact with the BambooHR API from Node.js or TypeScript applications.