MCP servers

Securely execute LLM-generated code in isolated containers or local Linux and Windows sandboxes across multiple programming languages.

Lets an AI client run browser tasks in a real Chrome browser, including fills forms, clicks, extracts data, and downloads files.

Transcribe local audio files to text using SenseVoiceSmall with private, on-device inference.

Lets an AI client read, write, and search a local-first knowledge graph stored as Markdown files.

Provides AST-based semantic code search for local repositories using incremental re-indexing and natural language queries.

Enforces policy as code to orchestrate, schedule, and audit AI agent workloads with deterministic execution and verifiable lineage.

Enforces policy-as-code governance for AI agents through deterministic scheduling and verifiable audit receipts.

Lets an AI client read and change Google Ads, Reddit Ads and GA4 campaigns, with a preview shown before every change.

An AI browser agent that automates web browsing, clicking, and typing to perform tasks from plain-English instructions while remaining invisible to anti-bots.

Connect AI agents to over 100 cryptocurrency exchanges and prediction markets for market data, account management, and trading.

An open-source AI agent framework that enables running multi-agent teams and workflows locally or via cloud providers.

Exposes AKShare financial data as an HTTP API and MCP server for fetching stocks, futures, funds, and macro data via AI assistants.

Lets an AI client fetch web pages with stealth HTTP or real browsers, bypass Cloudflare, and extract data using CSS selectors.

Automates job searching and applications by reading resumes, scoring job postings, and filling out company forms using a browser agent.

Enables AI clients to create and edit 3D models, execute Python scripts, and perform FEM analyses within FreeCAD.

Enables AI clients to write, backtest, and analyze quantitative trading strategies using a high-performance Rust-based engine.

Enables LLMs to watch videos by extracting meaningful keyframes and timestamped transcripts locally on your machine.

Maps lab results to LOINC codes and UCUM units and symptoms to ICPC-3 codes for AI agents, offline and without an API key.

Builds a structural knowledge graph of your codebase to enable semantic search and call-graph resolution for token-efficient code reviews.

Compresses tool outputs, logs, files, and RAG chunks before they reach an LLM to cut input tokens while keeping the same answers.