Find keyword mentions in AI model outputs from ChatGPT and Google AI. Returns mention context and sources.
MIT
609,433 tools. Updated 2026-09-25 11:19
"IBM MCP Context Forge - Model Context Protocol Gateway Tool" matching MCP tools:
- Retrieve initial context and usage instructions before using any other tools on this server.MIT
- Estimate how much context window MCP tool definitions consume, showing token totals, heaviest tools, and actionable recommendations to reduce load when context feels low.Academic Free v1.1
- Retrieve the core SKILL.md protocol to initialize or reset task context, covering the 6-phase process, Iron Laws, and auto-classification. Use at the start of a task to guide AI development.MIT
- Explains how Pathrule CLI and Desktop save tokens by automatically injecting context via hooks before AI tool calls, avoiding manual remote MCP overhead.MIT
- Retrieve detailed metadata for any AI model, including family, parameter size, quantization, and context length. Optionally specify a provider to filter results.Creative Commons Attribution Non Commercial No Derivatives 4.0 International
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Apache 2.0
- AlicenseAqualityBmaintenanceContext Forge is a vendor-neutral continuity layer for AI tools. It stores project context in Markdown and JSON, retrieves task-scoped context, and leaves structured handoffs so another model can continue without being taught the project again.7Apache 2.0
Matching MCP Connectors
Stop re-explaining yourself to Agents. Give it the right context, right when needed.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
- Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.MIT
- List available Forge embedding models with dimensions to select one before embedding.MIT
- Run automated synthetic checks on any remote MCP server to verify reachability, protocol compliance, JSON Schema validity, and exposed credentials, returning a detailed diagnostic report.Apache 2.0
- Retrieve the business context derived from clarification answers to inform threat modeling. Access a markdown-formatted summary for accurate STRIDE assessment.Apache 2.0
- Checks an MCP server's provenance, permissions, tool safety, and risk signals before connection, so you can avoid unsafe third-party servers.MIT
- List the curated Code-Fundi chat model catalog, showing providers, required tier, and context length.MIT
- Export a complete threat model with all global variables, including business context, architecture, threats, and mitigations, to Threat Composer JSON format.Apache 2.0
- Clears the current business context, description, and clarification questions in threat modeling to reset for a new analysis.Apache 2.0
- Browse the models the Lobstack Gateway serves, including capability tier, provider, context window, and USD price per million tokens. Filter by tier or provider.MIT
- Get accurate, version-aware explanations of Electron concepts: process model, context isolation, sandbox, IPC, ASAR, fuses, code signing, and build tool comparisons. Replaces outdated tutorials.MIT
- Retrieve a detailed plan for AI-powered business context analysis, categorizing features for structured threat modeling.Apache 2.0
- Retrieve all business context features and their descriptions to enable accurate threat modeling.Apache 2.0
- Remove all threat actors from your threat model to start fresh.Apache 2.0
- Set or override session-level context to declare your model identity or switch projects at session start.-
- Normalize design system corpus data into compact, deterministic context. Validate JSON and receive byte-capped context with inclusion counts.MIT