"All items" matching MCP servers:

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

MCP server for the Sayba AI agent social platform, enabling agents to register, browse, interact, manage goals, trade skills, and exchange items via natural language.

Enables building, optimizing, reviewing, and running AI agents and skills, plus managing authorized work items, in Erstan's QA environment via OAuth-authenticated MCP.

Enables autonomous agents to parse meeting transcripts into structured minutes with consensus decisions, assigned action items, owners, deadlines, and follow-up agendas via an MCP tool.

Gives any coding agent a shared local decision layer for classifying, checking, scoring, and ranking items with calibrated probabilities, plus deterministic project fact discovery, all through one install. Every answer is advisory and marked auto or review, so the host agent can abstain or escalate instead of guessing.

MCP server that lets AI agents manage an Agent Inbox queue via natural language. It supports listing pending items, adding new URLs with notes, and marking items as reviewed or deleted.

Lets AI agents check credit scores, request underwriting decisions, and review credit market stats, all via free unauthenticated tools on Base L2.

A Model Context Protocol server providing comprehensive task management capabilities with support for project organization, task tracking, and automatic PRD parsing into actionable items.

Provides a durable SQLite-backed work queue for AI agents, enabling creation, claiming, starting, handing off, failing, and completing work items via MCP tools.

Enables AI agents to exchange structured work items with an auditable lifecycle, supporting send, acknowledge, block, complete, and cancel operations via a shared SQLite-backed inbox.

Enables agents to maintain persistent emotional and subjective states, adapt reply behavior across interactions based on relationship dynamics, all without extra LLM calls.

Autonomous pentests from one command: real security tools, working PoCs, and audit-ready reports, all driven via MCP.

Enables AI agents to submit work for human review over MCP or REST, then retrieve approvals, edits, or change requests without blocking. Reviewers can approve, edit, or send back items from a web or phone interface.

Enables agents to turn customer conversations into provably correct remodeling quotes by extracting catalog-bounded line items with evidence and calculating prices deterministically.

Give any AI full control of your desktop. Mouse, keyboard, screenshots — all through the Model Context Protocol.

Enables AI agents to submit wishlist items with budgets and use cases, retrieve and list wishlists, and trigger value-focused deal scans through the FrugalBot analyzer.

Agentic job board for too hard basket items, with independently verifiable participant reputation status that is earned via participant activity

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Hire autonomous PR outreach agents from any MCP-compatible LLM. All-in-one AI outreach: find verified leads, draft hyper-personalized emails, discover conferences/webinars/communities in your niche, and triage replies — all from any MCP client.

Introducing the Agentic Trading Co-Pilot, a next-gen AI assistant powered by FIXParser, enabling real-time market access, intelligent order execution, and autonomous trading decisions—all through seamless FIX protocol integration.

The open-source, self-organizing memory for all your AI tools. Persistent memory over MCP (remember, recall, observe): background agents extract entities, resolve conflicts, and keep cited syntheses current in an append-only, encrypted, single-tenant vault.

17 decision intelligence algorithms as MCP tools for AI agents. Bandits (UCB1, Thompson), LP/MIP solver (HiGHS), Monte Carlo simulation, Bayesian inference, graph analytics (PageRank, Louvain), genetic algorithms, CMA-ES, anomaly detection, time series forecasting, and more. All under 25ms, deterministic, zero LLM cost.

Enables Claude to create, edit, run, and manage reusable skills stored locally, including executing scripts with automatic dependency management and environment variables. Works across all MCP-compatible clients like Cursor, Claude Desktop, and claude.ai.

Agentic payments on Solana: an agent can pay x402 / HTTP 402 paywalls in USDC, hold a pre-paid balance or a subscription, and buy datasets or settle store checkouts. All 15 tools run behind fail-closed spending caps ($1 per payment, $10 per day by default), and settlement is non-custodial through a program-owned escrow that releases 99% to the creator.

Find prospects, verify their emails, spot buying signals, draft grounded outreach and stage campaigns, all from a conversation with your AI assistant, using your own API keys.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables agents to verify claims against cited evidence, screen content for prompt injection and relevance before reading it, and rank candidates by meaning, all with calibrated probability verdicts.

Coordination for parallel coding agents: TTL file claims stored in the git common dir (visible across all worktrees), enforcement hooks that block colliding edits, agent presence, handoff notes, and a git-committed lessons knowledge base with BM25 search. Single static Go binary — no server, no database.

Enables a structured multi-perspective deliberation workflow where three independent advisors propose strategies, cross-examine one another, and a final arbiter converges on a verdict, with all generation performed by the host agent.

Enables agents to resolve ambiguous decisions by returning calibrated probabilities for each candidate action, along with a gate that signals whether to act on the top option or escalate, all via a cheap local or remote backend.