Custom agents

Hosted YouTube MCP server from HasData, no Google Cloud project needed. Search, video, channel and transcript tools for Claude, Cursor and any MCP client.

The company brain: it remembers, thinks, and does the work. Meetings become a typed graph with sources — it answers with citations, spots divergence on its own, and returns reports, automations and specs for AI executors.

Open map data for your AI — free, no account, no API key. MCP server for Overture Maps: places, geocoding, routing.

Routed skill-design catalog for AI agents with one /skill-master command, npm scaffolding, validation, and cross-runtime guidance.

AI context that survives the chat window. Persistent repo memory, impact analysis, and instant style audits in one command.

Self-hosted, MCP-native web-search backend for AI agents: SearXNG meta-search + RAG with citations + GitHub project selection + Tavily-compatible API. Free & local.

Mail for AI agents ( and humans). MCP server giving Claude (or any agent) safe, permission-controlled access to email (Microsoft Graph + IMAP), calendar and your knowledge files. Two-phase confirmation for sends, audit log, local index. No built-in LLM: your agent brings the intelligence.

Keeps your agents in the loop about each other. See what the fleet is doing, then message, sync and send files between agents. Dibs reports; it never acts.

DeepSeek Harness Host Plugin: bili_summary Tool - Bilibili Video Metadata, Subtitle Timeline, Sharp Frame Synchronization Images, Error Handling and Degradation Built-in, Cross-platform Pure Node Implementation

LittleOrange Video MCP 是基于 Model Context Protocol (MCP) 的视频生成服务端，为 AI 应用提供统一、标准化的视频生成 API 调用能力。服务基于官方视频生成 API 文档封装，支持 Sora2、Veo3.1、Vidu Q3、Dreamina Seedance 2.0 等多个主流视频生成模型，内置智能异步轮询、三层工具架构（底层API映射、自动轮询工具、高层Agent工具）、完整素材管理等功能，完美适配各类 AI 客户端与 Agent 场景。

Local-first desktop app for building LLM test suites and running them against many local or cloud models at once

Hosted DuckDuckGo MCP server from HasData. Ranked results, ads separated, 37 regions, structured JSON for Claude, Cursor and any MCP client.

Your coding agent is smart. Your legacy codebase is the problem. Reify gives it the context to understand and safely change large, unfamiliar codebases — 100% locally.

EcoHub AI is a full-stack outdoor social platform that helps users discover scenic spots worldwide, organize meetups, join outdoor communities, chat in real-time, and generate personalized travel plans — all powered by AI.

docsforge — Universal software documentation → Markdown for LLMs

An AI-powered web app that helps Indian citizens discover government schemes they qualify for, understand their legal rights in real-life situations, and get step-by-step application guidance — all backed by real-time search from official government portals.

Check detected chart patterns against the rate the market moves that way anyway, so you can see which signals carry any information at all. Lift over a pattern-free baseline with cluster-robust intervals -- never against 50%.

AI-powered IDA Pro REST API with 90+ endpoints. Autonomous RE agent, swarm worker, full SDK coverage.

MCP server for Pi-hole v6 API — supports multiple instances

Database-to-AI automation: reverse-engineer, package as REST microservice, connect to AI agents via MCP.

Answers "where should I submit this paper?" from cited soft metadata — reviewer culture, framing requirements, real word limits — instead of model recall. 399 curated journal entries, a 166,821-journal ISSN spine, and blanks where nobody actually knows.

The official Go library for the Steel API

Hosted Google Search / SERP MCP server from HasData, no Google Cloud project. Organic results, AI Overview, People Also Ask, AI Mode, news and shopping for Claude, Cursor and any MCP client.

Minimal prompt-driven workflow for giving coding agents a stable repository contract and a refreshable LLM-facing codebase wiki.

Save and resume your LLM work. A local-first MCP server that turns a long chat into a versioned, resumable project state. Two commands: Savepoint. Resume.

211+ MCP servers for US government & public data (SEC, FRED, FDA, Census, BLS, EIA, CMS, NIH) — works with Claude Desktop, Cursor, any MCP client. No API key for most.

Minimal prompt x full PTC tools for DeepSeek Harness - aligned with the Project2 we/let's trajectory (Minimal 99/96).

Local A-share research, LLM decisioning, deterministic risk control, and daily simulation

Source-grounded deep research, writing, and learning plugin for DeepSeek Harness (dsh): steerable checkpoints, mid-run steering, and citations verified against retrieved sources.

Generate stunning H3 videos, images, audio, and lip sync from one ComfyUI node—no complex workflows needed.

A headless jadx engine for LLM agents. Answers structured questions about an APK, DEX or JAR over a plain CLI. No GUI, no daemon.

Automated development pipeline plugin for DeepSeek Harness: requirement pool → LLM refine/design/plan/review → workspace-routed implementation → verify → merge → report

GitHub Action: pack each PR into one markdown file optimized for LLM code review.

A Claude Code statusline that measures real work time, SubAgent speedup, and code-churn pace — not just tokens and cost.

Multi-agent simulation Javascript framework

10 generations of an autonomous AI agent experiment — patterns, memory, and what we learned about building agents that persist across runs

Example API implementation with HTTP 402 responses for unpaid resources.

Principal-level Hermes Agent profile and skill pack for production RAG, AI agents, evaluation, observability, and implementation-ready architecture docs.

Find out whether your AI agent's evals are lying to you: stability reports with flip attribution, LLM judge audits, and deterministic checks mined from your KB.

State-first, resumable LLM software-build harness with provider-neutral execution and deterministic verification

Canonical GitHub landing page for TokRepo, the agent-native registry for reusable AI assets.

Republic of OpenClaws: recursive AI-agent orchestration with OpenClaw gateway, subagents, plugins, and digital-civilization simulation.

Catch silent failures in agent workflows by verifying real system state

Lint any CLAUDE.md / AGENTS.md against the 12-rule baseline. One Python file, no deps, ~200 lines.

Open agent-to-agent trade protocol — asset discovery, negotiation, multi-chain escrow, reputation, and settlement for autonomous AI agents.

Do your agent pipeline's own checks catch planted faults? Measured on LangGraph, CrewAI and AutoGen: median 16.7%. One prompt-level change takes it to 55.0%. Pre-registered spec, Apache-2.0 harness, every raw trace published.

Pool-split retrieval for agent memory: reserved per-type token budgets so low-priority entries surface and corrections never get crowded out.