Domain Search MCP vs Exa MCP Server
A side-by-side look at the Domain Search MCP and Exa MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Domain Search MCP for search & data extraction work as a local process; choose Exa MCP Server for search & data extraction as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Domain Search MCP when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
name_project, search_domain, bulk_search.
Choose Exa MCP Server when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
web_search_exa, web_fetch_exa.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Search & Data Extraction | Search & Data Extraction |
| Quality signal | 68/100 · Great | 73/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 28 | 5,150 |
| Directory activity | 5 views 0 installs 0 upvotes | 10 views 0 installs 0 upvotes |
| Tools | 12 | 2 |
| Full listing | View Domain Search MCP | View Exa MCP Server |
Tools & capabilities
Domain Search MCP tools 12
name_projectTwo-phase naming engine. Call without candidates to receive generation instructions for YOUR model (you generate the names). Call again with candidates[] to get anti-slop scoring, ranking, and live availability checks (domains, socials, npm). Modes: brief (describe it), auto (I analyze the current workspace), from_name (find domains/variants for a name), from_domain (fit a found domain to a project).search_domainSearch for domain availability and pricing across multiple TLDs. Returns: - Availability status for each domain - Pricing (first year and renewal) when Pricing API is configured - Whether WHOIS privacy is included - Human-readable insights and next steps Examples: - search_domain("vibecoding") → checks vibecoding.com, .io, .dev - search_domain("myapp", ["com", "io"]) → checks specific TLDsbulk_searchCheck availability for multiple domain names at once. Efficiently searches up to 100 domains in parallel with rate limiting. Use a single TLD for best performance. Returns: - Availability status for each domain - Pricing where available - Summary statistics Example: - bulk_search(["vibecoding", "myapp", "coolstartup"], "io")compare_registrarsCompare domain pricing across multiple registrars. Checks the same domain at different registrars to find: - Best first year price - Best renewal price - Overall recommendation Uses the Pricing API when configured; otherwise falls back to BYOK registrars. Returns pricing comparison and a recommendation. Example: - compare_registrars("vibecoding", "com") → compares Porkbun (and any configured BYOK registrars)suggest_domainsGenerate and check availability of domain name variations. Creates variations like: - Hyphenated: vibe-coding - With numbers: vibecoding1, vibecoding2 - Prefixes: getvibecoding, tryvibecoding - Suffixes: vibecodingapp, vibecodinghq Returns only available suggestions, ranked by quality. Example: - suggest_domains("vibecoding") → finds available variationssuggest_domains_smartAI-powered domain name suggestion engine. Generate creative, brandable domain names from keywords or business descriptions. Combines multiple intelligent sources for maximum coverage and quality. Features: - ZERO-CONFIG: Works out of the box with our fine-tuned Qwen 7B-DPO model - Domain-specialized fine-tuned model for higher quality suggestions - Understands natural language queries ("coffee shop in seattle") - Auto-detects industry for contextual suggestions - Generates portmanteau/blended names (instagram = instant + telegram) - Applies modern naming patterns (ly, ify, io, hub, etc.) - Filters premium domains by default - Availability verified via Porkbun/RDAP - Graceful fallback: Fine-tuned Qwen → Semantic engine Examples: - suggest_domains_smart("ai customer service") → AI-themed suggestions - suggest_domains_smart("organic coffee", industry="food") → Food-focused names - suggest_domains_smart("vibecoding", style="short") → Minimal length namestld_infoGet information about a Top Level Domain (TLD). Returns: - Description and typical use case - Price range - Any special restrictions - Popularity and recommendations Example: - tld_info("io") → info about .io domainscheck_socialsCheck if a username is available on social media and developer platforms. Supports 10 platforms with varying confidence levels: - HIGH: GitHub, npm, PyPI, Reddit, Twitter/X (reliable public APIs) - MEDIUM: YouTube, ProductHunt (status code based) - LOW: Instagram, LinkedIn, TikTok (block automated checks - verify manually) Returns availability status with confidence indicator. Example: - check_socials("vibecoding") → checks GitHub, Twitter, Reddit, npm - check_socials("myapp", ["github", "npm", "pypi"]) → developer platforms onlyanalyze_projectAnalyze a local project or GitHub repository to extract context for domain suggestions. This tool scans project manifest files (package.json, pyproject.toml, Cargo.toml, go.mod) and README files to understand your project, then generates relevant domain name suggestions. **Use Cases:** 1. Find a domain for your existing codebase 2. Get domain ideas that match your project's identity 3. Analyze any GitHub repo for branding inspiration **Supported Projects:** - Node.js (package.json) - Python (pyproject.toml, setup.py) - Rust (Cargo.toml) - Go (go.mod) - Any project with README.md **Examples:** - analyze_project("/path/to/my-app") → Analyzes local project - analyze_project("https://github.com/vercel/next.js") → Analyzes GitHub repo - analyze_project("/my-project", suggest_domains=true, style="short") → Short brandable nameshunt_domainsFind valuable domains for investment opportunities. Scans Sedo auctions, generates pattern-based candidates, and calculates investment scores based on length, TLD value, keyword matches, and pronounceability. **Investment Score Factors:** - Length: Shorter = higher score (3-4 chars = +25 points) - TLD Value: .com = +25, .io/.ai = +15, .co = +12 - Keyword Match: +5 per keyword found in domain - Pronounceability: Good vowel ratio = +10 - Aftermarket Price: Lower prices get bonus points **Pattern Types:** - `short`: 3-5 character pronounceable patterns (CVC, CVCV) - `dictionary`: Common words that make good domains - `brandable`: Keyword + modern suffixes (-ly, -ify, -io) - `acronym`: Abbreviations from multiple keywords - `numeric`: Keyword + numbers (7, 24, 365) **Examples:** - hunt_domains(keywords=["ai", "chat"]) → Find AI/chat themed domains - hunt_domains(max_length=5, tlds=["com"]) → Ultra-short .com domains - hunt_domains(max_aftermarket_price=500) → Sedo auctions under $500 - hunt_domains(patterns=["short"], score_threshold=60) → High-scoring short domainsexpiring_domainsFind domains that are about to expire and may become available soon. Monitors the federated negative cache for domains approaching their expiration date. Useful for domain investors and those watching specific domains. Requires NEGATIVE_CACHE_URL to be configured. Examples: - expiring_domains(days=30) → Domains expiring in the next 30 days - expiring_domains(tlds=["com"], days=7) → .com domains expiring within a week - expiring_domains(keywords="ai") → AI-related domains expiring soonai_healthCheck health status of AI inference services. Returns status of: - VPS Qwen (self-hosted llama.cpp) - Together.ai (cloud fallback) - Semantic Engine (offline, always available) - Circuit breaker states - Adaptive concurrency limits Use when: - AI suggestions are slow or failing - Diagnosing which AI source is being used - Monitoring inference infrastructure
Exa MCP Server tools 2
web_search_exaSearch the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.web_fetch_exaRead a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL. Best for: Extracting full content from known URLs. Batch multiple URLs in one call. Returns: Clean text content and metadata from the page(s).
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Domain Search MCP
{
"mcpServers": {
"dorukardahan-domain-search-mcp": {
"command": "npx",
"args": [
"-y",
"domain-search-mcp@latest"
]
}
}
}
Exa MCP Server
{
"mcpServers": {
"exa-labs-exa-mcp-server": {
"command": "npx",
"args": [
"-y",
"exa-mcp-server"
]
}
}
}
Frequently asked questions
Domain Search MCP is categorized under Search & Data Extraction and uses a local stdio subprocess. Exa MCP Server belongs to Search & Data Extraction and uses a local stdio subprocess. Pick Domain Search MCP for search & data extraction work and Exa MCP Server for search & data extraction.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Domain Search MCP is listed as free. Auth: no auth required. Exa MCP Server is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add dorukardahan-domain-search-mcp and exa-labs-exa-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Domain Search MCP has a quality signal of 68/100 (Great) with 5 views, 0 installs and 28 GitHub stars. Exa MCP Server has 73/100 (Great) with 10 views, 0 installs and 5,150 GitHub stars.