Latest MCP Servers

Enables integration of Knock's notification and management APIs into AI agent frameworks and Model Context Protocol clients, supplying ready‑made tools for OpenAI, Vercel AI SDK, LangChain, and custom MCP servers.

A bridge that connects Keboola projects with AI agents, exposing storage, component configurations, SQL transformations, job execution, workflow orchestration, and Data Apps through the Model Context Protocol.

Provides web search and video summarization capabilities through the Model Context Protocol, enabling AI assistants like Claude to perform queries and summarizations.

Provides LLMs with the ability to execute network measurement commands such as ping, traceroute, DNS, MTR, and HTTP across a global set of probes.

Provides repository management, build tracking, runtime monitoring, security scanning, and package catalog capabilities for the JFrog Platform via Model Context Protocol.

Run AI-generated Python code securely in persistent, stateful sandboxes that can stay active indefinitely.

Provides AI-powered project management capabilities via a Model Context Protocol server, allowing assistants to create, list, update, and delete tasks and documents in Dart without directly handling the underlying API.

Provides detailed geolocation information for IPv4 and IPv6 addresses using the IP2Location.io API.

Extracts text and performs OCR on images, PDFs, and Microsoft Office documents, converts documents to Markdown, and retrieves structured key information in JSON format.

Enables Make scenarios to be invoked as tools by AI assistants, handling parameter parsing and returning structured JSON results.

Provides actions for connected integrations on Integration.app, exposing tools through Model Context Protocol endpoints for static and dynamic usage.

Provides RAG‑powered retrieval of product documentation and content through a Model Context Protocol (MCP) endpoint.

Provides a Model Context Protocol (MCP) server that exposes Quickchat AI agents to any compatible AI application.

Provides tools to scrape, extract structured data, crawl webpages, and access general‑purpose browser agents such as OpenAI CUA, Anthropic Claude Computer Use, and lightweight Browser Use via a Model Context Protocol server.

Integrates the Hunter API with any LLM provider supporting the MCP protocol, enabling natural‑language access to B2B people and company data.

Enables LLMs to query and analyze Honeycomb observability data across multiple environments via the Model Context Protocol, providing real‑time insights into datasets, SLOs, triggers, and more.

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 large language models to manage and operate Heroku platform resources directly through the Heroku CLI, exposing a set of tools for app, dyno, add‑on, pipeline, database, and team operations.

Provides integration with Terraform Registry APIs, enabling automation and interaction for Infrastructure as Code development via Model Context Protocol.

Enables AI models to query and manipulate GROWI wiki content, providing page search, creation, tagging, comments, revisions, and share‑link management through the Model Context Protocol.

Enables integration between MCP clients and the Graphlit platform, providing ingestion, extraction, retrieval, and RAG capabilities across a wide range of data sources and connectors.

Provides a GraphQL federation gateway that composes multiple data sources into a unified graph with advanced governance, analytics, and performance features.

Add human approvals to AI agents and agentic workflows with a managed asynchronous approval UI, built‑in authentication, webhooks, notifications, team features, and an evolving training dataset.

Enables AI agents to evaluate Lisp code, make HTTP requests, and interact with Lisp debuggers through a lightweight Lisply protocol, bridging Model Context Protocol clients with Lisp‑based backends.

Enables discovery, management, and codification of resources across cloud and SaaS accounts through a Model Context Protocol server.

Runs a local MCP server to bridge Glean API with client applications, enabling quick testing and development.

Generate editable CAD parts or assemblies directly from natural‑language prompts by leveraging gNucleus generative AI models through a lightweight MCP server.

Provides command‑line utilities to interact with the Fluidattacks API, enabling automated security data retrieval and actions.

A simple JSON document store offering CRUD operations and field‑based sorting, designed to run as an MCP server for integration with AI tools.