Tools tagged with "MCP"

Playwright MCP lets AI agents control a browser by reading structured page information rather than interpreting screenshots. It's for developers building browser automation, exploratory tests or agent workflows that need to keep a browser session open across repeated actions. The server runs locally on macOS, Windows and Linux, or as a self-hosted service.

llama-swap is a self-hosted proxy for people running several AI models on their own hardware. It starts the model server a request needs and swaps out another when necessary, so you don't have to keep every model loaded or manage separate API connections in your apps.

Meilisearch combines keyword search and AI retrieval in a search engine you can host on your own server. It's for developers building search into websites, applications, product catalogs, or internal data tools. Meilisearch Cloud provides a separate, fully managed hosted service.

smolagents is an open-source Python library for developers building AI agents that carry out tasks by writing and executing Python. Its CodeAgent can combine tool calls with loops, conditionals, and calculations in one action. This approach suits tasks that need several operations, rather than a single model response.

CrewAI is an open-source Python framework for developers building workflows with multiple AI agents on their own hardware or servers. It supports local models through Ollama and defaults to the OpenAI API for model requests. The framework uses the MIT license; a separate commercial platform provides managed deployment and governance, with on-premise and cloud options.

FastGPT is a self-hosted AI agent builder for teams that want assistants to answer questions using company documents and carry out business workflows. Its visual editor connects model calls, knowledge retrieval and tools into applications for customer support, internal knowledge search and document review. You can run the platform on your own server through Docker or use the vendor's hosted service.

Cognee gives AI agents persistent memory across sessions, connecting documents, code, and conversations in a searchable knowledge graph. It's for developers who want agents to retain project context and teams whose knowledge sits across tickets, discussions, and repositories. The Python package is open source under Apache 2.0.

LangChain4j is an Apache 2.0 open-source Java library for developers building chatbots, assistants and AI agents in JVM applications. It connects application code to local LLM backends such as Ollama as well as cloud providers such as OpenAI and Google Vertex AI. Where model requests go depends on the backend you choose.

Repomix turns a code repository into a single file that an AI assistant can read. It’s for developers who need to give Claude, ChatGPT, Gemini, or another model enough project context for code review or analysis. You can use its command line on your own machine, pack a repository through its website, or run it as an MCP server, including through Docker. It is open source under the MIT license.

Vexa is a meeting bot and transcription API for developers building meeting features and teams feeding calls into AI agents. Bots join Google Meet, Microsoft Teams and Zoom, then send live transcripts with speaker labels to your application or agent. You can host the full platform on your own infrastructure or use Vexa's cloud service.

Agenta is an MIT-licensed, open source workspace for teams that want AI agents to handle tasks in chat and continue recurring work in the background. You can self-host it with Docker Compose or Helm to keep agents and workspace data on your infrastructure, or use Agenta Cloud as a hosted service.

MaxKB is a self-hosted AI agent platform for organizations building customer support bots, internal knowledge assistants and business automation. It combines answers grounded in company documents with workflows that can call functions and MCP tools. You can run it on your own server through Docker and use it through a browser.

Scrapling is a Python web scraping framework for developers collecting website data or giving AI agents access to web pages. Its adaptive parser can find previously selected elements after a site's layout changes, reducing the need to repair extraction rules. It's open source under the BSD-3-Clause license and runs on your own machine or in Docker.

Hexabot is a self-hosted AI workflow automation platform for teams building customer service assistants and business automations. It connects conversations to actions across websites, messaging platforms, social channels and custom entry points. You can run it on-premise or in your own cloud, with workflows, memory and customer data in infrastructure you control.

Bolt.diy is a self-hosted AI coding assistant for people building full-stack Node.js web apps who want to choose their own model provider. It's a fork of Bolt.new, with a browser workspace and an Electron desktop app for macOS, Windows, and Linux. You can also run it through Docker.

codecompanion.nvim brings model chat, inline code edits, and coding agents into Neovim. It's for developers who want AI assistance inside their editor, with a choice between local LLMs through Ollama and cloud providers such as Anthropic, OpenAI, and Google Gemini. The plugin runs in Neovim; where model processing happens depends on the backend you connect.

OpenAI Agents SDK is an open-source Python framework for developers building AI apps that need to use tools, delegate tasks, or work across multiple steps. Its runtime manages agent turns and conversation state while letting developers express workflows in ordinary Python. It uses the MIT license.

gptel brings LLM conversations into the Emacs buffers where you already write and work. It's for Emacs users who want AI help alongside their text or code, with a choice of local model servers and cloud providers. The client is open source under GPL-3.0.

Arize Phoenix is a self-hosted platform for developers who need to understand why an AI agent failed and test changes before shipping them. It runs on a laptop, in Docker, or on Kubernetes. Self-hosting keeps traces on your infrastructure; Phoenix Cloud provides a hosted alternative. Phoenix uses the Elastic License 2.0 (ELv2), a source-available license.

ParadeDB adds full-text, vector and hybrid search to the Postgres database that holds your application data. It's for developers who need search and analytics without maintaining a separate Elasticsearch cluster or synchronizing a second copy of their data. It runs as the pg_search extension in self-managed Postgres, including local Docker deployments.

Kiln is a desktop workbench for teams building AI applications on macOS, Windows and Linux. It keeps a task and its dataset together across evaluation, prompt optimization, RAG and fine-tuning, so teams can compare changes against the same examples. Engineers, data scientists, QA staff and subject matter experts can contribute through the app.

Jupyter AI connects AI agents to notebooks through a chat interface inside JupyterLab. It's for people who work in computational notebooks and want an agent to help write code, debug cells, or run notebook work without moving the conversation to a separate app. The extension runs within JupyterLab; the choice of agent determines the AI service it connects to.

MLflow brings agent tracing, LLM evaluation, and model experiment tracking into a platform you can run locally or on your own servers. It's for developers and teams who need to understand failures, compare changes, and monitor AI applications in production. It's open source under Apache 2.0.

AppFlowy is a self-hosted Notion alternative for teams that want project management, shared documents, and AI in an environment they control. Its self-hosted enterprise offering can run on premises, in your own cloud, or in an air-gapped environment. Self-hosted LLMs and embedding models let you keep AI processing and workspace data inside your infrastructure, with no vendor access to your instance.

LobeHub is an AI agent workspace for people who want to assign work to several assistants and keep that work organized. It offers a hosted service and a Docker-based self-hosted version for a private device or server. A Linux download is also available.

Haystack is a Python framework for developers building self-hosted AI agents, document search, and apps that answer questions using their own data. Its modular pipelines let teams control which information reaches a model and inspect how retrieval, memory, tools, and generation contribute to an answer. It's open source under Apache 2.0.

OpenHands is a coding agent platform for developers and teams that want agents to make changes across a codebase and handle recurring engineering work. You can run it on your own computer or self-host it on a server. Its core is open source under the MIT license, and a separate OpenHands Cloud service offers hosted execution.

Gradio turns a Python function, model, or API into a web interface. It runs on your computer, making it useful for developers and researchers who want people to try an AI project through a browser. It's open source under the Apache 2.0 license.

Kilo Code is an AI coding agent for developers who want help writing and understanding code in their editor or terminal. It runs in VS Code, JetBrains IDEs and the CLI, with cloud agents available for remote work. The project is open source under the MIT license and can be self-hosted.

Vyact is an open source desktop workspace for people who want to use a local LLM with their documents, email and code. It runs on Apple Silicon Macs, Windows and Linux x64 under the AGPL-3.0 license. Intel Macs aren't supported.

ast-grep MCP is a locally run server that lets AI coding assistants search code by its syntax structure. It connects ast-grep to Cursor, Claude Desktop and other clients that support the Model Context Protocol (MCP). It's for developers who need an assistant to find specific code constructs when matching words alone is too broad.

PocketPaw is a self-hosted AI agent for people who want a personal assistant that can work with files, write code and use a browser on their own computer or server. It runs on macOS, Windows and Linux, with a web dashboard and access through messaging apps. It is open source under the MIT license.

Code Buddy is an AI coding assistant for developers who want a terminal agent running on their own machine, with a choice of local or cloud models. It reads repositories, edits code and runs commands on Linux, macOS and Windows. Ollama keeps model inference local without an API key or account; cloud providers send model requests off the machine. Routing includes automatic provider failover.