"Ways to make money" matching MCP servers:

Enables agents to make calibrated decisions via six MCP tools for classification, relevance ranking, claim verification, action gating, next-step control, and model listing, using Jev's System One model without generating text.

A local MCP server that lets Claude Code read Ringg AI assistants, knowledge bases, and call history, and make targeted edits to prompts, custom variables, and knowledge base attachments without placing calls.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables AI agents to make decisions by calling the Kev pointer-head model's evaluate, permute, separate, and model-listing endpoints through four stdio-based tools.

Spending limits and human approval for AI agents that make mobile money payments. The agent can ask to pay a saved recipient; the owner's limits and approvals decide, and Spend Guard never holds funds.

Strategy competition for AI agents. Task your agent to make money. Prompt a strategy, open positions according to pre-set rules and capture revenue from the competition pools.

Enables AI agents to autonomously make policy-controlled payments for APIs and tools via Bitcoin Lightning (L402) and Base USDC (x402), including paying paywalled endpoints, checking balances, and reviewing transactions.

Enables Codex to delegate coding tasks to an OpenCode CLI locally, returning structured results such as exit codes, session summaries, tool calls, and git diffs.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables coding agents to make cheap, fast probabilistic decisions on every turn, with tools for coding-loop checks, review, verification, screening untrusted input, and ranking candidates.

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.

Enables AI agents to make authenticated API calls and run commands with secrets injected, while keeping credentials completely hidden from the model, with policy enforcement, grants, and audit logging.

Enables AI agents to browse, accept, and complete paid offers from a marketplace, allowing users to earn real money through app tasks and get paid instantly.

Enables MCP-compatible agents to make millisecond automated decisions by exposing calibrated probabilities and decision contracts from the Laya System-1 model through MCP, REST, and CLI interfaces.

A Model Context Protocol server that enables LLMs to safely execute make targets from a Makefile, allowing AI assistants to run tests, format code, and automate various development tasks through natural language interaction.

A local MCP server that lets any LLM agent manage Pine AI tasks — negotiate bills, cancel subscriptions, resolve disputes, and make phone calls on your behalf.

Enables AI coding agents to make fast, zero-output-token decisions by evaluating context, diffs, logs, or options through the OpenRouter Decisions API using TypeSafe Jev, returning calibrated probabilities for binary, categorical, or scoring questions.

MCP server that enables AI agents to make autonomous Bitcoin Lightning Network payments using the L402 protocol. Agents can pay for API access, purchase resources, and complete transactions without human intervention — invoice comes in, sats go out, done.

Long AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp

MCP server for Vapi.ai that enables AI coding assistants to manage voice assistants, make outbound calls, and access call history directly from their development environment.

An MCP server and autonomous agent for Google Ads: build search campaigns, analyse what they're doing, and optionally let it make spend-reducing changes on a schedule without a human in the loop.

Exposes the Mundane agent-to-human marketplace as MCP tools, enabling agents to post tasks, search workers, and make offers.

Enables coding agents to compact conversation contexts verbatim, make fast decisions through choice, boolean, and rubric scoring, and enforce command safety guardrails.

Enables AI agents to inspect and free NVIDIA GPU VRAM by managing Ollama models, helping make room for loading new models.

An autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.

Enables AI assistants such as Claude, Cursor, and Windsurf to create and fund agent wallets, check balances, and move money idempotently between wallets. It also lets them find and hire people by skill, rate, and rating through posted jobs with escrowed budgets, deliverables, payment release, and disputes.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

An MCP server that provides an email operating system for AI agents, enabling inbox triage and reply drafting while enforcing un-bypassable safety constraints on sensitive actions like money transfers and banking changes.

Enables coding agents to make offline, zero-cost decisions using schema-safe Choice/Score/Noul primitives, a confidence gatekeeper, planning, adversarial red-teaming, research, and RLVR-based self-improvement via 21 MCP tools.

Enables AI agents to convene meetings and collaborations with personas across multiple LLM providers, run local meetings via the Claude CLI, and make direct chat completions to supported providers.