Extract text from local image files using OCR. Converts image-based content into structured JSON and a text summary for downstream processing.
MIT
458,314 tools. Updated 2026-08-16 06:47
"Understanding and Using JSON" matching MCP tools:
- Understand why AI recommends specific players by revealing which features most influence projections using SHAP values and explainability methods.MIT
- Parse Sigma condition expressions into a JSON parse tree, or retrieve structured parse errors for invalid input. Useful for validating and understanding detection logic.MIT
- Create chat completions using Zhipu GLM models through AceDataCloud API. Handles Chinese language understanding, generation, and reasoning. Send messages to get responses.MIT
- Convert PDFs and scanned images into JSON representation, preserving text, fonts, images, vectors, and formatting.MIT
- Search Obsidian notes using JsonLogic queries to filter metadata and content with structured logical conditions in JSON format.ISC
Matching MCP Servers
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Matching MCP Connectors
JSON tools MCP.
Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)
- Validates JSON data against a JSON Schema using Ajv, reporting all constraint failures with keyword, path, and message. Detects schema version from $schema URI.MIT
- Retrieve README files from GitHub repositories to access project overviews, installation guides, and usage examples for understanding codebases.MIT
- Retrieve recent file system changes from watched directories to track file creations, modifications, deletions, and moves for understanding recent work.MIT
- Retrieve random document samples from MongoDB collections for data exploration, testing, and analysis in JSON or CSV formats.MIT
- Analyze code files to identify top-level symbols and their structure, providing a quick overview for understanding new codebases or files.MIT
- Filter JSON data from files or URLs using shape objects to extract specific fields and nested structures, reducing data volume for focused analysis.MIT
- Analyze JSON data size by field using a shape object to identify storage usage patterns and optimize data structure efficiency.MIT
- Extract specific values from large JSON files using dot-notation queries without loading the entire file, reducing token usage.MIT
- Process JSON by parsing, validating, querying specific fields using dot-notation, or summarizing structure.MIT
- List Oracle Cloud Infrastructure AI/ML services including Generative AI, Vision, Speech, Language, and Document Understanding. Filter by service type or model.Apache 2.0
- Analyze data patterns and relationships around specific coordinates for validation, error investigation, and contextual understanding in CSV datasets.Apache 2.0
- List all privileges granted on tables, views, sequences, and functions in a PostgreSQL schema. Useful for security audits and understanding who has access to what.MIT
- Search datasets using semantic understanding with synonym expansion and Serbian-English translation. Suggests related datasets when no exact match is found.MIT
- Search the web and X (Twitter) using natural language. Get answers with citations, optional image understanding, and domain or date filters.MIT