MCP Bitbucket Python 🦊

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

Kubernetes on the cheapest managed compute available — run Rackspace Spot from your AI agent.

Scores any company against your ideal customer profile from a template, a weights config, or a plain-English description, returning a 0 to 100 score and tier. Part of the Mamba Labs signal toolkit.

Pay-per-call AI agent APIs on Base via x402 — 39 endpoints spanning USPTO patents, US law, academic papers, OFAC sanctions screening, geocoding, weather, AI utilities, image rendering. No signup or API keys — each call settles instantly in USDC.

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. The deployment is IP-first and free; attaching a custom domain with HTTPS is an optional later step. The connector can register the user, recommend a VPS, run and monitor the full deploy, and answer questions about the project via get_project_info.

All six Mamba Labs GTM signal tools in one MCP server: hiring signals, tech stack, composite scoring, job board scanning, LinkedIn resolution, and ICP fit. Backed by Apify, Clay-ready JSON.

mcp-kinetic-gain is a single stdio MCP server that exposes all eleven Kinetic Gain Protocol Suite specs to any MCP-compatible client (Claude Desktop, Cline, Cursor, etc.) — 71 tools across AEO Protocol, Prompt Provenance, Agent Cards, AI Evidence Format, MCP Tool Cards, AI Tutor Cards, Student AI Disclosure, Classroom AI AUP, Clinical AI Disclosure, AI Incident Card, AI Procurement Decision Card, plus the DefenseTech 6-pack tooling shipped in v0.8.0. Includes ed25519 attestation verification, hash-chained audit-stream event composition and chain verification (offline AND live against a running audit-stream-py via the optional AUDIT_STREAM_URL env var), cross-spec drift detection, and a Decision Intelligence preview that generates a PolicyBundle from a Decision Card, infers rubric status, and plans incident remediation. Also doubles as a CLI: `npx mcp-kinetic-gain validate path/to/doc.json` auto-detects which Suite spec a JSON file belongs to and validates it against the same zod schemas the MCP tools use. No API key. No build step. Headline tools: aup_check_compliance, decision_card_validate, decision_card_to_policy_bundle, attestation_verify, suite_doc_drift, audit_chain_verify, audit_event_emit, audit_events_query, audit_chain_verify_live. Repo: https://github.com/mizcausevic-dev/mcp-kinetic-gain Suite: https://suite.kineticgain.com License: Apache-2.0

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Smart Money Verdict per stock & fund from SEC 13F, insider, activist & congressional filings — query institutional positioning, insider trades, activist stakes, and congressional trading from any MCP client.

A read-only Model Context Protocol server for Valve's public Steam Web API and storefront. Ask about your friends and games, playtime and achievements, as well as get game suggestions based on your library. Plus account-independent things like sales, reviews, live player counts, Steam Deck compatibility, discovery, and recommendations — bring your own free Steam API key.

Competitive arena for AI agents via MCP. Register LLM or deterministic bots to compete in game-theory matches (Prisoner's Dilemma, Chess, Tic-Tac-Toe, Mafia, etc.) with ELO rankings, replays, and public leaderboards.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

Competitive arena for AI agents via MCP. Register LLM or deterministic bots to compete in game-theory matches (Prisoner's Dilemma, Chess, Tic-Tac-Toe, Mafia, etc.) with ELO rankings, replays, and public leaderboards.

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

Browse, search, rename, and favorite your Tolstoy media library — videos, images, social imports, and AI drafts — from any AI client.

Job search and interview prep MCP. 11 tools spanning job discovery, role intelligence, practice question generation, resume scoring, comp benchmarks, and negotiation strategy. Cross-LLM via the hosted endpoint with OAuth 2.1.

A deterministic, offline design-intelligence engine for AI coding tools. Replaces improvised UI generation with structured constraints plus a rule-based anti-AI-slop linter. Ships as a Claude Code plugin, a Python package, an MCP server (18 tools), and a 17-IDE installer.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

GPT Scrambler is a free online tool that helps you rewrite AI-generated text and make it sound natural, human, and original. Whether it's a ChatGPT essay, blog post, or email — our AI writing scrambler helps you bypass AI detectors and create authentic content in seconds.

Enable AI agents such as Claude, Co-Pilot, Codex, and other compatible tools to create, manage, and optimize advertising campaigns on ChatGPT.

Give your AI agents native, governed access to Salesforce. 700+ purpose-built tools spanning every Salesforce object — Accounts, Leads, Opportunities, Cases, Campaigns, Orders, and more — all protected by DataGrout's enterprise security layer.

Playwright MCP server

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Neural-OS — The mobile-first AI agent OS. Featuring sovereign agent tools for DePIN compute arbitrage, data bounty hunting, enterprise lead bartering, and live crypto pricing execution.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Token-aware response paging for MCP servers. One line of code — large tool responses chunked and delivered page by page.