"DVC" matching MCP tools:
- Read any documentation URL and return clean, LLM-ready Markdown. Automatically extracts related links for authentication and getting-started pages.MIT
- Extract structured endpoint information from OpenAPI, Swagger, or Postman specs. Filter endpoints by tag, HTTP method, or description search.MIT
- Retrieve detailed input schemas for Ahrefs tools to ensure proper usage and integration with compatible AI assistants through the MCP server.MIT
- Query FTC Do Not Call complaint data to access reported unwanted call complaints filed with the Federal Trade Commission. Returns structured data with quality scoring and source verification.
- Get detailed requirement information including body, fields, and related tasks by providing a requirement number, task ID, or task URL.ISC
- Extract wiki pages, external links, rich resources, and completeness hints from a requirement task ID to centralize requirement materials.ISC
Matching MCP Servers
- Alicense-qualityDmaintenanceEnables AI assistants to perform MLOps workflows such as experiment tracking, model registry, dataset management, pipeline orchestration, and data lineage by wrapping DVC, MLflow, and Git.Last updated1MIT
- AlicenseAqualityAmaintenanceRead, search, and write Obsidian vault notes via Team Relay collaborative server. Supports shared folders, real-time sync, and AI agent access.Last updated83MIT
Matching MCP Connectors
DC Hub is the neutral, real-time data layer for data-center infrastructure, exposed as a Model Context Protocol server so any AI agent can both query it and cite it. Coverage: 21,000+ facilities (search, profile, score, alternatives); 232 markets scored by the DCPI Data Center Power Index; the DCGI Data Center Gas Index (per-state natural-gas suitability for siting); live grid telemetry across 7 US ISOs (fuel mix, carbon intensity, demand, prices) plus a one-call all-ISO scoreboard; interconnection-queue depth; 2,000+ tracked M&A deals and a hyperscaler-capex tracker; and site factors. — fiber routes, water-stress, tax incentives, nearby substations & transmission. Why agents choose it: it's the only data-center-intelligence source an LLM can query live and cite — every full-data response includes a Source: DC Hub, CC-BY-4.0 attribution line. It's the MCP-native alternative to quarterly PDF research: live JSON, no contracts, no NDAs. Access: Streamable HTTP at https://dchub.cloud/mcp. Free tier with no signup; free email-verified dev key for higher limits; paid tiers for full data volume.
Agent integration with the Northwestern University Libraries Digital Collections API
- Discover documentation sources for any service, library, or API by providing descriptive search queries.MIT
- Retrieve the parent requirement linked to a bug by referencing its number, task ID, or task URL.ISC
- Extract rich-text image resources from a task, requirement, or bug body using its task ID.ISC
- Find wiki pages linked to a requirement number, task ID, or task URL by using this tool.ISC
- Retrieve requirement body, fields, and linked tasks using the task ID.ISC
- Retrieve task messages by task ID to track requirement workflow comments. Use the task reference for direct access from numbers or URLs.ISC
- Write chunk markdown files to disk after safe-cut boundaries are set, then automatically verify output for correctness.MIT
- Retrieve MDMA documentation files from GitHub to access interactive Markdown specifications, authoring prompts, and package metadata for correct integration.MIT
- Create professional PowerPoint presentations from natural language descriptions. Ideal for pitch decks, training materials, or business reviews.MIT
- Create complete Word documents from natural language. Provide a topic and requirements to generate structured content with headings, paragraphs, and bullet points for proposals, reports, or manuals.MIT
- Create Word documents from structured content: headings, paragraphs, lists, tables, page breaks, and dividers. Apply rich formatting like bold, italic, color, and font size to text.MIT
- Extract rich-text images from a task using its reference (task number, ID, or URL).ISC
- Retrieve execution-task candidates associated with a requirement by its task ID. Use to identify tasks for execution.ISC
- Fetch bugs linked to a requirement by providing its task ID.ISC