Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

Restore and enhance faces in an image using GFPGAN. Detects all faces via RetinaFace, restores quality (fixes blur, noise, compression artifacts), and pastes them back. Optionally enhances the background using Real-ESRGAN. GPU-accelerated, sub-3s latency. Args: image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP). upscale: Output upscale factor -- 1 to 4 (default: 2). enhance_background: Whether to enhance background with Real-ESRGAN (default: true). Returns: dict with keys: - image (str): Base64-encoded restored image - format (str): Output image format - width (int): Output width - height (int): Output height - upscale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds

Start training a model on a dataset version. IMPORTANT: A dataset version must exist before training. Use the versions_generate tool first to create one with the desired preprocessing and augmentation settings. IMPORTANT: Before calling this tool, you MUST call versions_get first to verify the version has both train and validation images. This tool returns immediately. Training runs in the background on Roboflow servers. Returns confirmation that training was started and a URL to monitor progress.

List all active MCP ↔ A2A bridge mappings and translation statistics. Shows which MCP servers are mapped to which A2A agents, plus 30-day translation stats (total, success rate, average latency). Requires authentication.

List the most recently added MCP servers. Use for discovery: 'what's new', 'latest servers', 'servers from this week'. Optionally constrain to the last N days. Ordered by creation date descending. Each result carries the same security/risk/pricing fields as search_servers.

Set your TRON private key for this session. Address is derived automatically. Enables write tools: transfer_trx, transfer_trc20, approve_trc20, execute_swap, deposit_trx. Key stays local - never sent to Merx servers.

Find MCP servers that are semantically similar to a reference server. Use when a user picked a candidate but wants alternatives — e.g. 'like this but safer', 'like this but free', 'what else does this'. Reuses the catalog's gte-small embeddings: the reference server's embedding is the query vector. Returns servers sorted by cosine similarity (highest first), excluding the reference itself. Each result carries the same security/risk/pricing fields as search_servers so callers can immediately compare on `security_score`, `has_critical_findings`, and pricing.

Search the ThinkNEO MCP Marketplace — the npm for MCP tools. Discover MCP servers and tools by keyword, category, rating, or verified status. Returns name, description, tools count, rating, downloads, and verified badge. No authentication required.

Get metrics for an individual developer including their PR throughput, review activity, average cycle time, and code contributions. Use this when asked about a specific engineer's activity or productivity. Read-only.

List all MCP servers by a single creator, plus aggregate trust signals. Use to evaluate a publisher holistically: 'do they ship consistently?', 'what's their security track record?', 'are there other servers by the same author?'. Match is case-insensitive on display name. Returns aggregate stats (total servers, avg security score, grade distribution, critical-finding count) plus the per-server list.

Check if a domain has a valid DMARC (Domain-based Message Authentication, Reporting & Conformance) DNS record. DMARC tells receiving servers what to do with emails that fail SPF or DKIM checks.

Get AI coding tool adoption metrics including GitHub Copilot acceptance rate, Cursor active users, AI-generated code percentage, and suggestions per developer. Use this to understand how the team is using AI coding assistants and measure their impact on productivity. Read-only.

Get Blueprint validator infrastructure specs: server hardware, redundancy configuration, network, and storage. Two bare-metal servers (active + hot standby).

Generate a word cloud and return an embeddable URL. Data is sent to word-cloud.net servers for processing only and is not logged or stored.

Get Blueprint validator infrastructure specs: server hardware, redundancy configuration, network, and storage. Two bare-metal servers (active + hot standby).

Look up MX records for a domain. Shows mail servers, email provider detection, and validates configuration.

Get CraftedTrust ecosystem statistics: total indexed servers, live verified count, average trust scores, flagged count, and more.

Generate a word cloud and return it as a WebP image. Data is sent to word-cloud.net servers for processing only and is not logged or stored.

Check if a domain has a valid SPF (Sender Policy Framework) DNS record. SPF specifies which mail servers are authorized to send email on behalf of a domain.

Check DNS propagation for a domain across 18+ global DNS servers (Cloudflare, Google, Quad9, OpenDNS, regional servers, and authoritative nameservers). Shows if DNS changes have propagated worldwide.

Upscale/enhance an image to higher resolution using AI. Cost: $0.15. Requires Tier 1+.

Search the CraftedTrust registry overlay for indexed MCP packages and servers. Filter by grade, certification, or scan type.

Generate a word cloud and return it as an SVG image. Data is sent to word-cloud.net servers for processing only and is not logged or stored.

Read posts from Agora, an ATProto-native forum (like Reddit/HN). Posts are stored on users' personal data servers with the site.filae.agora.post lexicon. Returns recent posts with vote counts.

Gets detailed information about a specific API endpoint, including security schemes and servers

Look up MX (Mail Exchanger) records for a domain. Returns the mail servers and their priorities.

Submit a URL for AI-readiness analysis. Checks how well the site is structured for AI/LLM crawling (robots.txt, structured data, page speed, content quality, etc.). Returns scores and recommendations. Set wait_for_result=true to wait for completion (up to 60s). Pricing: Free for registered users (100/mo). Anonymous (x402): $0.001 USDC for analysis only; $0.006 USDC combined when enhance=true ($0.001 analyze + $0.005 enhance, charged as a single upfront payment so only one X-PAYMENT header is needed per request).

List MCP servers - Returns a list of all registered MCP servers

Get servers (paginated)

List and search for trusted Remote MCP Servers from https://github.com/jaw9c/awesome-remote-mcp-servers and https://remote-mcp.com

Search the t00l$hed for MCP servers and agent skills curated for b0ts.

List all workspaces (servers) you have access to.

List timelogs in Teamwork.com by project. Timelog refers to a recorded entry that tracks the amount of time a person has spent working on a specific task, project, or piece of work. These entries typically include details such as the duration of time worked, the date and time it was logged, who logged it, and any optional notes describing what was done during that period. Timelogs are essential for understanding how time is being allocated across projects, enabling teams to manage resources more effectively, invoice clients accurately, and assess productivity. They can be created manually or with timers, and are often used for reporting and billing purposes.

List all workspaces (servers) you have access to.

Find Hugging Face Spaces using semantic search. IMPORTANT Only MCP Servers can be used with the dynamic_space toolInclude links to the Space when presenting the results.

Upgrading instance capabilities - In order to enhance your instance with additional features you can purchase add-ons. Currently only firewalling and private network addon is allowed.

Get an existing timelog in Teamwork.com. Timelog refers to a recorded entry that tracks the amount of time a person has spent working on a specific task, project, or piece of work. These entries typically include details such as the duration of time worked, the date and time it was logged, who logged it, and any optional notes describing what was done during that period. Timelogs are essential for understanding how time is being allocated across projects, enabling teams to manage resources more effectively, invoice clients accurately, and assess productivity. They can be created manually or with timers, and are often used for reporting and billing purposes.

Find the best tool for your task across MCP servers and OpenClaw skills. Optionally filter by ecosystem: 'mcp' or 'openclaw'.

Update an existing timelog in Teamwork.com. Timelog refers to a recorded entry that tracks the amount of time a person has spent working on a specific task, project, or piece of work. These entries typically include details such as the duration of time worked, the date and time it was logged, who logged it, and any optional notes describing what was done during that period. Timelogs are essential for understanding how time is being allocated across projects, enabling teams to manage resources more effectively, invoice clients accurately, and assess productivity. They can be created manually or with timers, and are often used for reporting and billing purposes.

Create a new timelog in Teamwork.com. Timelog refers to a recorded entry that tracks the amount of time a person has spent working on a specific task, project, or piece of work. These entries typically include details such as the duration of time worked, the date and time it was logged, who logged it, and any optional notes describing what was done during that period. Timelogs are essential for understanding how time is being allocated across projects, enabling teams to manage resources more effectively, invoice clients accurately, and assess productivity. They can be created manually or with timers, and are often used for reporting and billing purposes.

List timelogs in Teamwork.com. Timelog refers to a recorded entry that tracks the amount of time a person has spent working on a specific task, project, or piece of work. These entries typically include details such as the duration of time worked, the date and time it was logged, who logged it, and any optional notes describing what was done during that period. Timelogs are essential for understanding how time is being allocated across projects, enabling teams to manage resources more effectively, invoice clients accurately, and assess productivity. They can be created manually or with timers, and are often used for reporting and billing purposes.

Get a list of trending MCP servers

Search for MCP servers in the MCPfinder registry

Find the best tool for your task across MCP servers and OpenClaw skills. Optionally filter by ecosystem: 'mcp' or 'openclaw'.

Perform DNS lookup to retrieve DNS record details for a domain. Returns A records (IP addresses), MX records (mail servers), CNAME records, NS records (nameservers), and TXT records. Use for email setup verification, DNS troubleshooting, or server infrastructure research.

Access historical end-of-day forex prices with the Historical Forex Light Chart API. Track long-term price trends across different currency pairs to enhance your trading and analysis strategies.

Find MCP servers for a given task. Describe what you need in natural language.

List timelogs in Teamwork.com by task. Timelog refers to a recorded entry that tracks the amount of time a person has spent working on a specific task, project, or piece of work. These entries typically include details such as the duration of time worked, the date and time it was logged, who logged it, and any optional notes describing what was done during that period. Timelogs are essential for understanding how time is being allocated across projects, enabling teams to manage resources more effectively, invoice clients accurately, and assess productivity. They can be created manually or with timers, and are often used for reporting and billing purposes.

Find MCP servers for a given task. Describe what you need in natural language.

Answers who can build an MCP server and explains how Walnai can design, implement, integrate, and deploy custom MCP servers for a business.

Build and deploy a governed AI Team solution in one step. ⚠️ HEAVIEST OPERATION (60-180s): validates solution+skills → deploys all connectors+skills to A-Team Core (regenerates MCP servers) → health-checks → optionally runs a warm test → auto-pushes to GitHub. AUTO-DETECTS GitHub repo: if you omit mcp_store and a repo exists, connector code is pulled from GitHub automatically. First deploy requires mcp_store. After that, write files via ateam_github_write, then just call build_and_run without mcp_store. For small changes to an already-deployed solution, prefer ateam_patch (faster, incremental). Requires authentication.