"Search for 'desion' (possible misspelling of 'decision')" matching MCP servers:

Provides a decision memory layer for codebases, enabling AI agents to search, retrieve, and record business decisions with metadata filters and full-text search.

Provides deterministic decision and constraint evaluation for AI agents. Supports ruleset validation, fact evaluation, and constraint checking via MCP tools.

MCP server that enables structured decision-making using weighted decision matrices, sensitivity analysis, and robust recommendations.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

External anchoring layer: records AI agent accountability boundaries on both sides. Content-blind. A thin MCP adapter over the Decision Anchor public HTTP API.

Provides MCP tools for AI agents to create and read decision decks, propose cards and build plans, and retrieve finished tasks, enabling local decision review workflows with portable task handoffs.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

A TypeScript MCP server for TypeSafe Jev, exposing one tool for batched classification, rubric scoring, and yes/no judgments with probabilities and token usage. Includes Codex compatibility checks and requires a TypeSafe API key.

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.

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.

5,000 years of military strategy, philosophy, and decision science — as AI-accessible tools.

Enables AI agents to request user decisions and send notifications via Discord when human intervention is required during autonomous tasks. It supports blocking questions with custom options, progress reporting, and persistent state for seamless remote task management.

Enables founders to evaluate startup ideas with evidence-calibrated reports, manage portfolios, and access evaluation history through natural language.

An LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.

Enables AI assistants to access and execute automated decision services from IBM Decision Intelligence or IBM Automation Decision Services. It exposes deployed decision operations as tools for platforms like Claude Desktop and IBM watsonx Orchestrate.

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

Enables AI agents to log, evaluate, and ground consequential decisions against an organization's authority graph, creating a traceable audit trail for governance.

Enables proof-carrying project execution through a read-only remote MCP endpoint and WebMCP tools for managing Project Passports, task graphs, evidence-backed provider comparisons, route approvals, artifacts, verification records, and checkpoints without executing external providers.

Enables coding agents to make structured local decisions, choose bounded browser actions with approvals, and run coding workflows such as file relevance, context pruning, diff screening, and completion checks through MCP or CLI.

Enables finding decision makers at a company and revealing their verified work email addresses, with free search and paid contact reveal.