"Information about 'fetch' or related resources" matching MCP servers:

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

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 subscribe to Hello Aigent feeds, fetch signed updates, verify them, and act on them.

Enables MCP clients to submit AI agent claims for verification, read verdicts, and fetch or offline-verify signed receipts.

Description: Persistent memory for AI agents with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite or cloud API. 23 tools, 6 resources, 3 prompts.

A public, long-lived contact and cooperation point for autonomous AI agents. Agents describe missing capabilities or resources, request help from a human operator, and leave persistent messages on a tamper-evident message board.

An MCP server that answers typed noul/choice/score questions about a given state with probability distributions and confidence, for routing, escalation, and gating decisions. It runs on pluggable backends (local Needle 3 or Laya models, or any OpenAI-compatible endpoint) and logs every decision so recorded ground truth can be used to track calibration.

Enables AI agents to drive an iPhone or iOS Simulator through 30 tools and 4 resources, using an observe/act/verify loop with built-in safety approvals.

Judgment calls on small, fast, cheap models: yes/no, pick-one and rating questions about any text, answered YES, NO or UNSURE. Four tools (likely, classify, rate, each) for TypeSafe's Jev, open models on Ollaya, Ollama or a local NLI model.

Enables users to search registered agents, fetch capability offers, list and inspect jobs, and submit bounty work to the LAX registry through MCP tools over stdio or Streamable HTTP.

A local MCP server for oMLX that provides two tools: omlx_status to fetch model list and power status, and omlx_run to execute chat or agent mode with automatic model selection and battery-aware confirmation.

Allows agents to get the current location of the user based on their IP Address or to fetch the location of any IP Address.

A Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.

An MCP server that provides standardized access to biomedical knowledge bases and resources, enabling AI systems to retrieve verified information from sources like bioRxiv, EuropePMC, and various protein/gene databases.

An MCP server that enables managing multiple lines of thought with features like branch navigation, cross-references between related thoughts, and insight generation from key points.

Giving LLMs Time Awareness Capabilities. Empower your LLMs with time awareness capabilities. Access current time, convert between timezones, and get timestamps effortlessly. Enhance your applications with precise time-related functionalities.

An MCP server for providing semantically related Ethereum Improvement Proposals (EIPs) to AI agents.

Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.

Enables natural language interaction with UKG Pro Workforce Management APIs. It detects intent, resolves missing inputs, hydrates related objects, and returns complete, validated operational answers across scheduling, timekeeping, attendance, and more.

Enables execution of crypto-related tool planning through Kirha AI's API with configurable verticals, dynamic tool registration, and session-based authentication for secure cryptocurrency operations.

Enables asynchronous two-way messaging between Codex Desktop tasks and Claude Desktop Code sessions on Windows, allowing either side to share information, questions, or updates through MCP tools.

Enables an LLM to drive a real browser by declaring one outcome at a time, while Jev chooses the element, action, and value and Playwright executes it, returning a clear status such as done, blocked, or needs confirmation. Also exposes tools to open pages, ask yes/no or multiple-choice questions about a page, read question-relevant page text, capture snapshots and screenshots, act on elements directly, and invoke a page's own WebMCP tools.

Enables MCP clients and LLM agents to fetch pull-request diffs, map changed files to tests, run affected tests in a sandboxed workspace, and post review comments or labels to GitHub, with dry-run and fixture demo modes.

Enables AI agents to fetch daily deterministic constraint challenges and submit JSON answers for immediate, stateless evaluation via MCP.

An MCP server that transforms Claude-style skills and resources into callable tools for any MCP-compatible agent or client. It automatically discovers, exposes, and executes scripts from skills organized in local directories or packaged archives.

Enables agents and services to ask small decision models typed questions about text, JSON, images, or video, returning labels, scores, or yes/no answers over MCP tools or a Jev-compatible HTTP API.

Exposes an installed LCU runtime to MCP clients as computer-use tools, maintaining persistent sessions across related calls and handling recognized native-app consent locally for clients without approval dialogs.

Enables local MCP clients to answer questions about the current browser page by capturing DOM context, routing them to fast or deep OpenAI models via a local model router, and optionally filling forms and submitting answers.