Deep Research MCP Server vs One Search MCP
A side-by-side look at the Deep Research MCP Server and One Search MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Deep Research MCP Server for search & data extraction work as a local process; choose One Search MCP 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 Deep Research MCP Server when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- You want tools like
web_search, read_url, deep_research.
Choose One Search MCP when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Search & Data Extraction | Search & Data Extraction |
| Quality signal | 55/100 · Good | 48/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 146 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 3 | Not listed |
| Full listing | View Deep Research MCP Server | View One Search MCP |
Tools & capabilities
Deep Research MCP Server tools 3
web_searchSearch the web and return a ranked list of results (title, URL, snippet). Use it to discover sources before reading them. No API key required.read_urlFetch a single URL and return its main content as clean, readable Markdown (navigation, ads, and boilerplate stripped). Ideal for turning a web page into LLM-ready context.deep_researchOne-call deep research: searches the web, reads the top sources in parallel, and returns a clean, citation-ready dossier. Your agent writes the final synthesis from the dossier. No OpenAI/Perplexity key needed.
One Search MCP tools
No tool names declared yet. Check the project README from the listing page.
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.
Deep Research MCP Server
{
"mcpServers": {
"deep-research-mcp-server": {
"command": "npx",
"args": [
"-y",
"deep-research-mcp-server"
]
}
}
}
One Search MCP
{
"mcpServers": {
"one-search-mcp": {
"command": "npx",
"args": [
"-y",
"agent-browser"
]
}
}
}
Frequently asked questions
Deep Research MCP Server is categorized under Search & Data Extraction and uses a local stdio subprocess. One Search MCP belongs to Search & Data Extraction and uses a local stdio subprocess. Pick Deep Research MCP Server for search & data extraction work and One Search MCP 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.
Deep Research MCP Server has no declared pricing — check the project's own site. One Search MCP has no declared pricing — check the project's own site. 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 deep-research-mcp-server and one-search-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Deep Research MCP Server has a quality signal of 55/100 (Good) with 1 views, 0 installs and 0 GitHub stars. One Search MCP has 48/100 (Fair) with 1 views, 0 installs and 146 GitHub stars.