JSON Schema validator for API payloads via MCP: bounded checks and structured pass/fail errors.

AI search engine and MCP server for bots and agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.

Cloud architecture diagrams in both directions: AI prompt or JSON to diagram, diagram to Terraform via MCP server, and Terraform to diagram via CLI or CI/CD. Using Official AWS, Azure and GCP icons.

Query official statistics of Catalonia (Idescat): tables, metadata and JSON-stat data via MCP.

Verified websites as JSON commands for AI agents over plain curl or MCP.

CrawlForge MCP Server - Professional Model Context Protocol server with 31 web scraping, crawling, deep-research, and autonomous-extraction tools. Returns clean Markdown and structured JSON for Claude, Cursor, and any MCP client. Defaults to local Ollama

Linter for AI agent context files and MCP configs: CLAUDE.md, AGENTS.md, .cursorrules, .mcp.json - catches broken paths, wrong commands, leaked secrets

DeepSeek Harness MCP Connector: connect servers, search tools across active connections, and troubleshoot discovery. Includes a continuously updated catalog; supports OAuth 2.0 PKCE, API keys, Streamable HTTP/stdio, and mcpServers JSON import.

Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.

Enables coding agents to navigate and verify a contract-backed semantic graph of TypeScript backends, inspect change impact, run checks, explain failures, and draft human-reviewable contracts through bounded MCP tools and matching JSON CLI output.

Enables coding agents to run taste heuristics on MapLibre style JSON, catching rainbow fills, low-contrast labels, crowded text layers, and light-only palettes via a check tool, plus basic structure validation and locating a local showcase for preview.

Enables local, evidence-led analysis of a master recording into inspectable stems, timing, beats, harmony, lyrics, MIDI and sonic evidence, then finds complete-bar loopable sections for Shorts and other short-form video. Results stay traceable through source hashes, manifests, JSON/TSV/NPZ artifacts and portable Sonic Visualiser sessions, and it can run as a CLI, Python library, web service, container or MCP plugin.

Enables MCP clients to run read-only health checks against HTTP, TCP, SSL, and Docker targets defined in a single config.json, reporting status codes, latency, certificate expiry, and container state. Nothing is written, restarted, or modified — each probe just opens a connection, reads, and closes it.

Enables clients to retrieve customer records by ID and issue refunds to active customers over stdio, with strict schema validation and JSON-RPC error mapping.

Gemini provider for Pi on the Antigravity ACP server (official Google ACP) or the stream-json agy CLI. Use antigravity/* models in Pi. Full /model picker support. Models runs Pi's tools. ToS safe to use.

A CLI framework built on one declaration: help, --json, --schema, MCP, completions and types are projected from it, with exit codes and fix: lines an agent can act on. No dependency outside the burgee family. Drop-in paths for commander, yargs and meow.

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

Enables AI clients to search Korean court auction real estate by court, region, usage, sale date, appraisal/minimum price, and failure count; fetch case details; collect and resume jobs; and export results to Excel, CSV, and JSONL.

Exposes MCP tools that compute longevity and metabolic metrics (autophagy index, GKI, MAGE), cardio-renal biomarkers (BUN/creatinine ratio, cardiac output and TPR, nocturnal BP dipping), chronobiology estimates (DLMO, melanopic lux, caffeine clearance), plus neuro-recovery and biomechanics scores. Runs as a zero-dependency Python JSON-RPC 2.0 stdio server so any MCP-compatible client can query these physiological domain calculators.

Enables AI agents and MCP clients to run on-demand OSINT harvests for public emails, subdomains, hostnames, IPs, and LinkedIn profiles, returning structured JSON and allowing prior results to be retrieved by harvest ID.

Enables MCP clients to inspect PDF structure and extract object-level data such as characters, words, tables, images, fonts, and metadata, with JSON/CSV export and image retrieval.

Enables MCP clients to perform speculative tree-search action prediction and prefetching using Laplace-smoothed Markov transitions, returning deterministic JSON tool results.

Enables clients to look up failure modes and corresponding procedures, search and retrieve entries, and build prompts or reviews through structured tools over stdio JSON-RPC.

Changelogs for coding agents: versions, breaking changes, migrations. Free changelog-to-JSON.