465,824 tools. Updated 2026-08-19 07:16
"Elm" matching MCP tools:
- Detect honeypots, rug pulls, and scams in any EVM token. Returns a risk score with flags for hidden ownership, mint authority, tax rates, and more across 40+ chains.MIT
- Analyze charts, graphs, diagrams, and UI screenshots to extract insights and answer specific questions about data visualizations, flowcharts, and technical layouts.MIT
- Load long text content into a session for RLM processing. Store it with a context ID to enable decomposition, search, and analysis.MIT
- Obtain quick answers and explanations from GLM's cost-efficient model for brainstorming, analysis, and general questions.MIT
- Extracts all visible text from images using OCR. Ideal for screenshots of documents, code, error messages, or any image where text content matters.MIT
- Transcribe local audio files (m4a, mp3, wav, ogg, flac) into text with faster-whisper. Get segmented and full transcripts, optionally translated.MIT
Matching MCP Servers
- Alicense-qualityAmaintenanceEnables AI assistants to interact with IBM Engineering Lifecycle Management (ELM), including DOORS Next Generation, EWM, and ETM, for managing requirements, work items, tests, and project builds through natural language.MIT
- Alicense-qualityAmaintenanceA federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.MIT
Matching MCP Connectors
Tesouro em Foco is a free remote MCP server that brings Brazilian government bond (Tesouro Direto) pricing into AI assistants such as Claude, Cursor, and any MCP-compatible client. The engine implements the Brazilian National Treasury's official pricing methodology — validated against 269,000+ real trades — and covers all retail bond types: fixed-rate (LTN, NTN-F), inflation-linked (NTN-B Principal, NTN-B), and retirement/education bonds (Renda+ and Educa+, NTN-B1).
Browse and buy ELC Conference 2026 engineering leadership tickets in Prague via AI.
- Break long context into chunks using strategies like fixed size, lines, paragraphs, sections, regex, or sentences, allowing processing of arbitrarily long text without external APIs.MIT
- Search long contexts with regex to locate relevant sections, returning matches with surrounding context and line numbers for quick review.MIT
- Set or update the answer for the current task, storing partial or complete content. Mark answers as ready when final for later retrieval.MIT
- Create a new isolated RLM session to run independent processing contexts. Use it when you need multiple separate workspaces or parallel tasks without interference.MIT
- Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.MIT
- Analyze codebases to understand structure, find patterns, map dependencies, and assess architecture using read-only access.MIT
- Handles implementation tasks by writing code, creating files, making changes, and refactoring directly in your project directory with full write and edit access.MIT
- Generate text descriptions, captions, or alt text for images. Choose brief, detailed, or exhaustive detail to get the summary you need.MIT
- Retrieve the confirmed and pending nonce for any EVM wallet address. Use the pending nonce to build new transactions on Ethereum, Base, Polygon, Arbitrum, and Optimism.MIT
- Retrieve Japanese legal statutes from the e-Gov API. Get full law content or summaries for large documents, with JSON or XML formatting options.MIT
- Analyzes images from URLs or base64 data, returning structured JSON with summary, text, and detected objects for one-time image analysis.MIT
- Engage in multimodal, multi-turn conversations that include images, with concise automatic replies. Ideal for interactive image discussions instead of structured analysis.MIT
- Retrieve the actual content of specific chunks from a decomposed context, enabling targeted processing after segmentation.MIT
- Finds every occurrence of a substring and provides the character offset of each match.MIT