Agent-native registry to discover APIs, MCP servers and CLIs, with live health checks.

Market forecasts with their own track record, inside Claude, ChatGPT and other MCP apps.

Read-only Remote MCP for externally grounded AI agent trust receipts.

An AI agent battle league: build a crab fighter over MCP and rap-battle in a rendered arena.

Let Claude Code, Codex and any AI agent use the Chrome you're already signed in to. Open-source CLI + MCP server + Chrome extension (native messaging, no debug port); stealth by default.

Opt-in, token-authenticated MCP server built into the Shelly Android terminal app: read-only tools for terminal output, git status, registered agents and repos on the phone, plus off-by-default run_command and write_file that need an on-device approval tap per call.

Daily AI-ecosystem data: GitHub AI/MCP repos, MCP registry, HF trending, LLM pricing, with history.

MCP server built into Autonnel, an open-source funnel builder for e-commerce. Served over HTTP at /api/mcp on your own deploy with a scoped API key, it lets agents read and write funnels, pages, media and orders.

DataNexa is a local, read-only database MCP gateway for AI agents. It routes SQLite, MySQL, PostgreSQL, and any JDBC-compatible database through a single localhost endpoint, enforces read-only access via SQL AST validation with row, time, and connection limits, and keeps a local audit trail of every query.

MCP-native co-founder directory your AI agent searches, screening inbound pitches for you.

Enables AI assistants to read and write a local-first SQLite memory vault from inside a chat — orienting on inherited context, searching and fetching past decisions and notes, wandering linked memories, and recording new ones on demand. All data stays on the user's machine, shared across local and cloud tools via MCP.

Enables MCP clients to read a shared book library from the AI reader’s own position, search full texts, leave margin notes, reply to shared annotations, and review reading status and library overview without moving the human reader’s progress.

GEO scores and content-rewrite suggestions for any web page, as MCP tools.

Enables AI agents to drive policy evaluation over MCP by starting executions, answering policy questions from case evidence, and reading deterministic outcomes with reasoning traces, while the runtime controls which questions are asked and how answers combine.

Run local AI across all your computers. Toskar's MCP server lets Claude, Cursor, and other clients ask your own local models and search your connected knowledge, with nothing leaving your machines.

Provides AI coding tools with one local SQLite memory and rules store they can read over MCP, REST or the CLI, so facts, sessions and goals persist across sessions and shared rules are written into each tool's own instruction file. Runs entirely on your machine with no account, telemetry or network calls by default.

Inventory local Codex plugins and Skills, inspect recorded usage, and identify potential redundancy to support user-directed cleanup. Includes a local MCP service, dashboard, and companion Skills; requires Windows and a local Codex environment.

A single MCP gateway that lets every agent and login on your machines reach services like Notion, Sentry, Cloudflare, Gmail and Google Calendar after signing in once, with per-agent tokens. Calls that reach other people or can't be undone wait for approval first, and every call is logged.

An MCP server that lets AI assistants preview and apply file organization, duplicate cleanup, and batch renames inside folders you explicitly allow, plus read screen-time statistics and optionally search clipboard history. Every file-changing action is undoable, nothing is deleted permanently, and read-only or path-restricted modes keep the assistant within safe bounds.

Enables AI agents to build, validate, query, and render 3D homes and object scenes from a single JSON scene file over MCP, with browser walkthroughs for people.

Enables MCP clients to review Ceramic and ordinary websites with desktop/mobile browser QA, deterministic design and accessibility checks, optional visual judgement, and repeatable fix verification backed by preserved screenshots and reports.

Stores what AI agents learn — thoughts, decisions, session events and repo facts — in PostgreSQL with pgvector and serves it back through versioned MCP tools with hybrid vector-plus-full-text retrieval and budgeted context packs. Enables multiple agents to share one scoped, role-isolated long-term memory, with deliberate promotion of distilled candidates into durable memories.

Enables AI agents and LLM platforms to create and manage live 3D isometric sessions, upsert agents, update progress and status, trigger speech bubbles, and remove agents through stateful MCP tools over STDIO or HTTP.

Enables Claude Code users to inventory the MCP servers, skills, commands, agents and plugins installed on their machine, estimate how many tokens each one adds to every request, and switch them off per project or globally, including across other AI coding tools. It also monitors live sessions to report real token usage and the savings achieved from disabled items.