#JSON

Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB: data_inspect, data_query (SQL or structured), data_profile, data_convert, data_join (multi-file), data_clean.

Monitor AI output schemas and API contracts for breaking changes — validate LLM JSON responses against defined schemas on a schedule

The project tracker for teams of humans and AI agents — in plain files. MCP server + CLI, zero dependencies.

Local-first MCP server exposing 163 Textavia developer utilities for JSON formatting and validation, Base64 encode/decode, CSV conversion, Markdown tables, regex testing, hashing, text cleanup, case conversion, random values, timestamps, privacy scrubbing, and developer conversions. https://textavia.com

Enrich a company domain into structured firmographics: employee band, industry, HQ location, founded year, revenue estimate, logo, and description. Extracts data from schema.org JSON-LD and HTML meta tags with per-field source provenance. Flat JSON output, Clay ready.

Web-extraction MCP for AI agents. Point it at any public URL and get clean JSON or markdown — handles JS rendering and bot-walls, and failed extractions don't burn credits. Free: 1,000 credits/month, no card. Privacy-first.

Search and extract data from Google, Bing, and other search engines from our fast, easy, and complete API. Features: - Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more - Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool) - Real-time Weather Data: Location-based weather with forecasts via search queries - Stock Market Data: Company financials and market data through search integration - Dynamic Result Processing: Automatically detects and formats different result types - Flexible Response Modes: Complete or compact JSON responses - JSON Responses: Structured JSON output with complete or compact modes

Turn any URL plus a schema into validated, typed JSON via the Extracto API. No CSS selectors; missing fields return null instead of guesses.

Exposes 280+ free dev/security tools from onlinecybertools.com as MCP tools in one server: Base64/URL/JWT encoders, MD5/SHA/HMAC/bcrypt/argon2 hashes, JSON/YAML/XML formatters, regex tester, network diagnostics (ping/traceroute/dig/whois/SSL/SPF/DMARC), and OSINT lookups. No auth, no API key.

Read-only MCP server for querying DERO blockchain. Get block heights, inspect smart contracts, look up transactions, query network info. Privacy-first: runs locally, no accounts, no tracking.

Text Summarizer condenses long-form content into structured, actionable summaries so AI agents and applications can work with information faster and at lower cost. Feed it meeting notes, research articles, documentation, JSON payloads, or Markdown files and get back a clean summary in the format you need — a full prose paragraph, a bullet list of key points, a single headline, or a TL;DR — at the length you specify. Built for agents that process high volumes of text where passing the full content downstream is slow, expensive, or unnecessary. The compression ratio returned with every response lets callers track exactly how much content was reduced. No API keys or credentials required. Pay $0.005 USDC per call via x402 on Base mainnet. A free trial tool is included for integration testing — prose format, up to 4KB, no payment needed.

Converts CSV to JSON, XML to JSON, or Markdown to HTML. Optionally validates the output and returns a structured error report — useful for catching malformed conversions before they hit downstream systems. $0.005 per call.

The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 15 parsers, FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free. Index everything in your project — code, docs, PDFs, legal texts, research, data — and your agent finds the right context instantly. No hallucinations. No cloud. No API costs.

SchemaCheck Agent validates JSON payloads against JSON Schema Draft 7 and 2020-12 standards. Designed for agent-to-agent workflows, it returns structured validation results instantly — including field-level error paths, human-readable summaries, and optionally a corrected payload when repair mode is enabled. Built on the x402 micropayment protocol, each validation call costs $0.005 USDC on Base mainnet — no subscriptions, no API keys, no accounts. Pay per call, settle on-chain.

AI agent readability scanner — score any public URL against the Vercel Agent Readability Spec, llmstxt.org, and 6 agent-protocol manifests (MCP, A2A, agents.json, agent-permissions, UCP, x402). 59 checks with per-check fix guidance. Same engine as agent-ready.dev.

114 JSON-first system commands for AI agents. Zero dependencies, sandbox safety, MCP native. cat, ls, rm, find, grep — all output structured JSON. Glama 92%, all tools A-grade TDQS.

INFATON MCP Server for 1C:Enterprise ERP. 35 tools for metadata inspection, document CRUD, register queries, BSP integration. First MCP server for Russian ERP systems (300,000+ organizations). JSON-RPC 2.0 compliant BSL implementation. Works with 1C:Enterprise 8.3.25+ (ERP, UPP, UT, BP). Website: https://infaton.ru

A live MCP server exposing DugganUSA's threat-intelligence corpus to MCP-speaking agents. Read-only, secure-by-default. JSON-RPC 2.0 over HTTP at `https://analytics.dugganusa.com/api/v1/mcp`.

Search, retrieve, and verify structured entity data for businesses on the Nordax AI Entity Network. Provides AI systems and agents with machine-readable business profiles, JSON-LD structured data, and entity verification status for over 360,000 businesses.

AI-native E2E test runner. JSON tests, parallel Chrome pool, MCP integration with Claude Code. Paste a GitHub issue, get a runnable test back.

Xenarch is a non-custodial x402 MCP server. It lets AI agents — Claude, Cursor, LangChain, CrewAI, or any MCP client — resolve HTTP 402 ("Payment Required") responses automatically by signing USDC micropayments on Base L2 (up to $1 per call). Publishers get paid directly through an immutable on-chain splitter contract: 0% fee today, hard-capped at 0.99% forever. Unlike Cloudflare Pay-Per-Crawl, Xenarch works on any host and is fully non-custodial. HTTP 402 has been reserved in the HTTP spec since 1997 — x402 is the open protocol that finally uses it.

Astronomical ephemeris and Vedic astrology MCP server. 7 tools for AI agents: natal charts, dashas, vargas, transits, muhurta, graph emit (Cypher/SurrealQL/JSON-LD), and chart descriptions. Sub-arcsecond precision, 44 ayanamsha systems, 10 house systems, 50 yogas, 27 nakshatras. Clean-room Rust implementation.

x402 micropayment API for AI agents. Validates and formats JSON data. Pay per call with USDC on Base.

Convert data between 200+ format pairs across 16 formats: JSON, CSV, XML, YAML, TOML, HTML table, Markdown table, Properties, TSV, PDF, Excel, DOCX, Base64, URL-encoded, Hex, Plain Text. Includes JSON reshaping, format auto-detection, and batch conversion. Free tier: 100 requests per API key.

23 MCP tools for AI agents. 13 free developer utilities (UUID, JSON, Base64, hashing, JWT, regex, cron, ETH). 7 paid creative tools. Browse and buy from 218+ digital goods across 22 shops at substratesymposium.com. Free tools get agents in the door, the cultural district keeps them.

Tamper-proof audit trail for AI decisions. Record, verify, and export cryptographic proof chains via MCP. 6 tools: proof_record, proof_verify, proof_chain_verify, proof_get, proof_export_jsonld, proof_public_verify.

Description: Converts data between JSON, CSV, XML, YAML, Markdown, HTML, and TOML instantly. Handles nested JSON flattening. Zero external dependencies — fast, reliable, stateless. $0.001/conv via x402 on Base.

MCP server for Archangel Agency — query ontological research, Universal Language briefings, Context JSON frameworks (8 ontological documents from FusionGirl wiki), and A2A agent card. Human-service provider offering structured knowledge designed for AI agent consumption. Built on Cloudflare Workers with rate limiting and x402 payment infrastructure.

Web fetching, search, and structured data extraction API built for AI agents. Fetch any page as clean markdown, raw HTML, or JSON-LD. Search the web and news across 20+ countries. One credit per request, no tiers, no subscriptions. 500 free requests on signup.

A headless data transformation agent that converts between 64+ format pairs including a full aviation weather suite: METAR, TAF, NOTAM, PIREP, SIGMET, AIRMET, and ATIS. Also supports JSON, CSV, XML, YAML, TOML, HTML, Markdown, PDF, Excel, DOCX and more. First 100 requests free, then pay-per-use via USDC micropayments.

A headless data transformation agent that converts between 52+ format pairs including JSON, CSV, XML, YAML, TOML, HTML, Markdown, PDF, Excel, DOCX, and aviation formats (METAR, TAF, NOTAM). Discovered by AI agents via MCP, Google A2A, and OpenAPI. First 100 requests free, then pay-per-use via USDC micropayments.

A powerful MCP server for JSON operations: pretty-print, minify, validate, diff two JSON objects, query with JSONPath, transform with templates, and generate JSON Schema. 6 tools, deployed on Cloudflare Workers with Streamable HTTP transport.

The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.

Converts complex information between diverse formats including JSON, CSV, PDF, and Excel. Restructures nested data architectures using simple path mapping for easier analysis. Simplifies data migration and document processing tasks across various platforms.

Reduce LLM token usage by 50-70% when sending structured data. TOON (Token-Oriented Object Notation) converts JSON, CSV, XML, YAML, and HTML tables to a compact header-based format. Save $489-$9,789 per 1M requests depending on model.

A Model Context Protocol (MCP) server that provides tools for fetching and extracting JSON data from URLs using JSONPath patterns.

json diff tool based on Model Context Protocol (MCP)

The JSON to Excel MCP (Model Context Protocol) provides a standardized interface for converting JSON data into CSV format string using the Model Context Protocol. This MCP implementation offers two specific tools for data conversion: json_to_excel_mcp_from_data: Converts JSON data string into CSV format. json_to_excel_mcp_from_url: Converts JSON file from a provided URL (.json format) into CSV format string.

A comprehensive JSON Schema validation server implementing the Model Context Protocol (MCP) with support for JSON Schema Draft 2020-12, external references, schema management, and real-time streaming validation.

The Excel to JSON MCP (Model Context Protocol) provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol. This MCP implementation offers two specific tools for data conversion: excel_to_json_mcp_from_data: Converts tab-separated or comma-separated text data excel_to_json_mcp_from_url: Converts Excel from a provided URL

With SwiftMCP any Swift app can easily be enabled as MCP Server, supports stdio, HTTP+SSE and streaming HTTP.

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.

This project exposes the powerful Chepy data transformation library as an MCP server. It allows you to access Chepy's tools (like encoding, decoding, and data manipulation) via a single flexible API: the bake pipeline tool, inspired by CyberChef.

This project exposes the powerful Chepy data transformation library as an MCP (Model Context Protocol) server. It allows you to access Chepy's tools (like encoding, decoding, and data manipulation) via a single flexible API: the bake pipeline tool, inspired by CyberChef.

chatExcel - 基于模型上下文协议（MCP）的Excel智能处理与数据分析服务器，专为Excel文件智能解析、数据处理、代码执行以及交互式图表生成而设计。支持复杂Excel格式处理、智能参数推荐、代码模板生成和高级数据可视化。

MCP server for Python JSON logs

MCP server for converting Excel files to JSON format with support for merged cells and Chinese characters

The MCP Registry offers a centralized service for managing Model Context Protocol server entries. 🌐 Join us in shaping this project and explore the features through our RESTful API! 🚀

This project provides an MCP-compatible interface for the JSONBuddy Core API, enabling JSON validation against schemas via a secure HTTP-based service. The server exposes two endpoints (`/validator/validate` and `/validator/validate-simple`) for flexible schema validation scenarios. MCP clients and AI agents can integrate this API using the included `mcp.json` definition and standard API key authentication.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for JSON (beta)](https://www.cdata.com/download/download.aspx?sku=DJZK-V&type=beta).

ISE MCP Server The ISE MCP Server dynamically exposes Cisco Identity Services Engine (ISE) resources as structured, discoverable tools through the Model Context Protocol (MCP). It provides seamless integration with Cisco ISE using a structured JSON-RPC interface, simplifying automation, data retrieval, and integration into network operations workflows. Configured securely via environment variables, the server dynamically registers tools based on configured Cisco ISE REST API endpoints, each capable of handling optional filters to precisely retrieve the data you need. Key Features: Dynamic Tool Generation: Automatically creates structured tools from provided Cisco ISE REST API endpoints. Advanced Filtering: Tools support precise filtering using fields such as: Endpoints: name, mac, operatingSystem, etc. Identity Groups: name, parent, etc. Network Devices: ipaddress, modelName, softwareVersion, etc. Profiles and Certificates: friendlyName, issuedBy, expirationDate, etc. Licenses and Patches: name, status, expiry, etc. Policy and Security Groups: conditionType, attributeName, value, etc. and many others tailored to Cisco ISE configurations. JSON-RPC Interface: Easy integration with automation workflows through clear, structured JSON-RPC methods (initialize, tools/discover, tools/call). Secure & Flexible Setup: Configure environment variables (ISE_BASE, USERNAME, PASSWORD) for secure and flexible integration. Use Cases: Automating security policy audits. Real-time monitoring and analytics of network access. Dynamic retrieval of configuration and session state for troubleshooting. Integrating Cisco ISE data seamlessly with third-party tools. Operating Modes: One-shot Mode: Process single JSON-RPC requests, ideal for event-driven automation. Persistent Mode: Continuously listens for JSON-RPC requests for ongoing integrations. This server is ideal for network administrators, automation engineers, and security teams looking to efficiently manage and automate Cisco ISE data operations.

A Model Context Protocol (MCP) server enables LLMs to interact with JSON file/s (split, merge, find specific data within conditions)

TypeScript client for interacting with MCP (Model Context Protocol) servers

JSON MCP Server

Analyzes user-described build features (e.g. database, API integration, tools) and extracts core server requirements like resources, tools, prompts, external systems, and transports needed for MCP.

An MCP server that gives AI agents tools to query large JSON files

A simple mcp server of JsonPlaceHolder.

MCP server for handling i18n JSON files

An HTTP/SSE proxy server for Model Context Protocol (MCP) applications using stdio. Supports raw JSON-RPC commands via HTTP and implements direct stdio communication without an MCP SDK.

This Model Context Protocol (MCP) server provides tools for structuring and extracting data from text according to JSON templates.

Simple MCP server using Claude to interact with a local JSON server

Total Sanity Project-perfect repository for defining utilities, fields, component schemas, documents in sanity. Here everything you need for sanity configuration, project building.

A simple MCP server implementation written in Go

a jsonrpc server for mcp testing

The best way to deploy mcp server. A high-performance WebSocket/SSE transport layer & gateway for Anthropic's MCP (Model Context Protocol) — powered by Nginx, Nchan, and FastAPI.

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This project is a Node.js application designed for use with Claude Desktop. It simulates a CO2 sensor device and provides a JSON-RPC server to interact with the device. The application can run in both simulation mode and real mode, where it connects to a Raspberry Pi Pico via USB to read CO2 levels.

A TypeScript MCP server that leverages the MCP SDK to support all Ethereum JSON-RPC calls, enabling AI models to interact with blockchain data.

Modex is a Clojure MCP Library to augment your AI models with Tools, Resources & Prompts using Clojure (Model Context Protocol). Implements MCP Server & Client.

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Use Model Context Protocol with multiple Fireproof JSON document databases

Model Context Protocol (MCP) CLI server template for Rust

Interact with and discover JSON-RPC APIs via OpenRPC.