"Information about Automata Labs Team" matching MCP servers:

Enables AI assistants to run pay-per-result web data and media tools such as website tech stack detection, document-to-Markdown conversion, SEO audits, OCR, and domain lookups via Apify.

Provides MCP-callable workflow rails for agents, enabling bounded work execution, movement-fee quotes, payment authority references, paid rail runs, and signed receipts.

Provides a local-first memory layer for coding agents, storing principles, rules, and corrections on-device and surfacing them at the moments they apply so agents act on the intended outcomes without sending data to the cloud.

MCP server for the Lando Labs Design System, enabling AI agents to introspect and generate code for React components, hooks, icons, design tokens, and theme presets via 15 tools.

Publishes a shared MCP endpoint where API-key users in different groups see and call only the tools their policies permit, mixing remote upstream tools with local ones. Tool discovery and execution are both filtered, hidden-tool calls are denied before their handlers run, and every action is tagged with subject and group in structured JSON logs.

Enables validating and querying SPEI transfers through 66 public M2M operations, with configurable profiles and risk controls.

Contract-driven test enforcement and reporting for LLM-generated code via MCP, VS Code, Copilot CLI, Claude, Cursor, or Python SDK.

Enables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.

Provides local-first, zero-LLM memory retrieval for AI agents like Claude Code and Codex, enabling verbatim recall of stored notes and context through tools such as fidelis_recall and fidelis_orient.

Enables existing MCP clients to access paid MCP servers by signing x402 payments locally and proxying tool calls, with automatic line management, retries, and spend limits.

Neo4j MCP Canary is a fast-moving, experimental release of the Neo4j MCP server for customers who want to explore emerging capabilities before they are considered for the official server.

Provides LLM access to Exasol database via MCP tools, including metadata reading and data queries, with an optional on-premise text-to-SQL (Governed SQL) translation.

Provides AI agents with honest benchmark rankings (Agentic Memory Index and Agentic Search Index) for AI tools, plus graded checks and telemetry for x402 endpoints.

Provides AI assistants with access to Capawesome documentation and Cloud management tools, enabling app, build, and deployment operations via API token authentication.

MCP server for SrezAI providing web search, page reading, screenshots, and schema-based extraction as native agent tools.

MCP server for Octen Extract that turns any URL into clean, LLM-ready markdown, with highlights and classification. Works with Claude, Cursor, VS Code, and other MCP clients.

Exposes Mireye Earth's geospatial data API as MCP tools (mireye_ask and mireye_fetch) for querying location-based information like elevation, flood zones, and wildfire risk for US places.

Enables LLM agents to extract, validate, and mask personally identifiable information using deterministic regular expressions, reducing token usage and hallucination risks.

Enables MCP-compatible AI assistants to access Kooperativa's B2B data lake, allowing users to enrich and search professional profiles and companies, track hiring signals and job changes, and manage webhook monitors through natural conversation.

Connects MCP clients to Kongen Labs' Pattern Intelligence API for reasoning regime detection, structural transfer scoring, and intelligent model routing.