Development MCP Servers

Build Elementor sites with AI agents — ~90 tools for native, editable Elementor V4 pages over REST, with validation, backups, rollback, and a typed JSX compiler. MIT.

Use KPainter's remote MCP server to create source-grounded videos, slides, and interactive knowledge content from your own materials.

Remote MCP server (Streamable HTTP) at https://mcp.agenticrail.nz/ — deterministic step-order enforcement for AI agents. evaluate_step returns ALLOW or DENY before a step runs; verify_receipt proves a sequence's Ed25519-signed, hash-chained receipt chain is intact. No auth required: omit the bearer token and calls run on the public demo key. That first clause matters — the form has no "remote/hosted" field, and putting the endpoint in the description is the convention on that list ("Fully REMOTE! Just use…"). The rest mirrors your own server card verbatim, so the listing and the card can't drift.

MCP Studio gives you a no-code way to turn docs, repos, websites, PDFs, and MCP endpoints into reliable context your AI tools can use. Build MCP servers in minutes and track usage, answer quality, and business impact with built-in analytics.

Minimal TypeScript MCP teaching server with two bounded in-memory tools, Zod validation, official SDK protocol tests, CI, and no file, network, subprocess, or secret access.

Verifies token/cost savings claimed by AI context-reduction proxies via MCP tools.

Traces which neurons and attention heads drive a language model's output via MCP tools, built on TransformerLens.

Benchmarks local LLM inference speed (tokens/sec) on your own hardware via MCP tools.

Scans datasets/models for PII/secrets, redacts, and packages a public-release bundle via MCP.

Security scanner for third-party AI agent-skill files (SKILL.md, hooks, scripts) via MCP.

MCP-based SSH session manager for Linux backend teams

Sends the same prompt to multiple LLM providers in parallel and returns a divergence score.

Fail-closed deterministic checks and tamper-evident receipts for AI agent outputs.

Evaluates whether an AI agent is safe to operate internal web apps via an MCP run_suite tool.

Scans self-hosted multi-tenant AI-agent platforms for tenant-isolation gaps via an MCP tool.

Verifies Ed25519-signed attestation records and builds audit reports via MCP tools.

MCP server wrapping the AgenticWorkspace CLI for repo workspace agent-safety scans.

MCP server wrapping the evolveguard CLI for agent-skill file safety checks.

MCP server wrapping the truesignal CLI for threat/connector status checks.

MCP server wrapping the taskswarm CLI for multi-agent task coordination.

MCP server wrapping the ContinuityGuard CLI for video-clip continuity scans.

MCP server wrapping the ownvoice CLI for voice/identity checks.

MCP server wrapping the WorkspaceGuard CLI for workspace usage checks.

MCP server wrapping the slop-eval CLI for genericness scoring of AI-generated UI output.

MCP server wrapping the toolgovern CLI for agent-tool policy validation.

MCP server wrapping the ShimGuard CLI for agent-shim provenance checks.

Extract text, metadata, and tables from PDFs via public URL or base64. Agent-friendly, provider-free.

Verify email deliverability - syntax, disposable domains, MX lookup, optional SMTP handshake. Agent-friendly verdicts, 0-100 score, and machine-readable reasons.

Turn any OpenAPI/Swagger/Postman spec into an MCP server — give your LLM live access to any API.

Proves AI-generated Python does what you asked: state the intent as assertions and the server runs the code in a locked-down container, returning a fix only when every example passes.