"JPEG" matching MCP servers:

MCP server for Chinese A-share (Shanghai/Shenzhen/Beijing) financial statements: pull annual reports, run 4 industry-aware accounting cross-checks, and peer-compare companies with derived avg-equity ROE.

Runtime governance proxy for MCP tool calls. Inspects tool results for prompt injection and capability abuse before they reach your agent, blocking attacks that exploit the MCP trust boundary.

MCP server for PrismHR, enabling AI agents to automate payroll, benefits, compliance, and billing tasks with verified-schema tools and scope-gated consent.

Enables deterministic, token-minimal multi-hop retrieval from a vault of [[wikilink]] notes via the Model Context Protocol, allowing LLMs to answer questions by following authored links without vector databases or LLM calls during retrieval.

Enables AI assistants to generate and validate 30+ UML and other diagram types (Mermaid, D2, Graphviz, BPMN, C4, and more) through the Model Context Protocol, returning rendered SVG, PNG, PDF, JPEG, or base64 output via Kroki, PlantUML, and Mermaid backends.

Enables capturing JPEG stills and querying camera details, capabilities, and configuration from Axis network cameras via VAPIX.

Provides job search, local resume parsing, and resume-to-job matching via official APIs and local file processing.

Provides customer lookup, transaction history, knowledge-base search, and ticket management tools to any MCP client.

Enables AI agents to access an allowlisted set of local Eufy cameras through MediaMTX, providing camera status, single JPEG snapshots, and motion clip listing with frame extraction, without PTZ or cloud APIs.

Exposes seven tools that turn Azure cost-pattern and AI FinOps analysis into drafted optimization plans, with human approval bound to a SHA-256 digest and dry-run execution recorded in a hash-chained audit log. Deliberately ships no approve tool, so nothing can be changed in the estate without people signing off first.

Custom MCP server demonstrating the Model Context Protocol with tools for arithmetic calculation and weather lookup.

Provides tools, resources, and prompts for managing a local Markdown notes database, including create, read, update, delete, search, and statistics operations, with robust path traversal protection.

Props-first sports odds API with a hosted MCP server. Live odds and player props (moneyline, spreads, totals) across US sportsbooks, normalized to JSON. Tools: get_odds, get_props, get_events, get_books. API-key auth, free tier.

Enables Claude to act as a personal health coach by connecting to Garmin wearable data and Notion workspace for automated calorie tracking, photo food logging, and coaching insights.

Enables AI agents to actually see images from local file paths and remote URLs by returning them as vision input, with automatic JPEG re-encoding, referer handling, and optional directory allowlisting.

Enables MCP clients such as Codex and CodeBuddy to operate the Unity Editor, search Unity APIs and game source code, and manage asset libraries through vector and graph retrieval.

Enables AI assistants to read and manipulate ZSXQ (知识星球) content via MCP, allowing listing groups, searching posts, downloading and summarizing content through natural language.

Enables Claude to autonomously trade, analyze, and manage positions on Polymarket prediction markets with 45 comprehensive tools covering market discovery, analysis, trading execution, portfolio management, and real-time monitoring with enterprise-grade safety features.

Enables AI agents to query and interact with Extra Low Voltage security hardware such as Hikvision and Dahua cameras and NVRs through typed, read-only-by-default MCP tools for device info, channel enumeration, and JPEG snapshot capture. Translates proprietary ISAPI and CGI protocols into safe, auditable calls that any MCP client can use over stdio.

Enables MCP clients to generate images from text prompts and edit existing PNG/JPEG files with natural-language instructions by driving a local ComfyUI instance running Qwen Image models. Supports aspect ratios, exact pixel dimensions, batch counts, and reproducible seeds, with matching capabilities exposed through a Python CLI.