Neurolink vs One

A side-by-side look at the Neurolink and One MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Neurolink logoNeurolinkAggregators · Local subprocess (stdio)Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context summarization.63GoodAuth: api key requiredOne logoOneAggregators · Local subprocess (stdio)Search, document and execute authenticated API calls across 500+ apps via one MCP server60GoodAuth: api key required

Verdict: choose Neurolink for aggregators work as a local process; choose One for aggregators as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Neurolink logoChoose Neurolink when

  • You need dedicated capabilities in the Aggregators domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
Explore Neurolink

One logoChoose One when

  • You need dedicated capabilities in the Aggregators domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: ONE_SECRET.
  • You want tools like list_one_integrations, find_one_actions, execute_one_action.
Explore One

Feature & specification comparison

Rows where the two servers differ are marked.

SpecNeurolink logoNeurolinkOne logoOne
CategoryAggregatorsAggregators
Quality signal63/100 · Good60/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredAPI key required
PricingBYOK (pay the provider)Not declared
Required env varsNone listedONE_SECRET
Verified ownerCommunity listingCommunity listing
GitHub stars15711
Directory activity 5 views 0 installs 0 upvotes 0 views 0 installs 0 upvotes
ToolsNot listed3

Tools & capabilities

Neurolink tools

No tool names declared yet. Check the project README from the listing page.

One tools 3

  • list_one_integrationsList available platforms and active connections, each with the `access` it confers (full, methods, or specific actions)
  • find_one_actionsFind the action for every operation a task needs, across platforms, with its documentation, in one call; `load` fetches more of a document or an alternative's
  • execute_one_actionExecute an API action on a connected platform

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.

Neurolink

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "juspay-neurolink": {
      "command": "npx",
      "args": [
        "-y",
        "@juspay/neurolink"
      ]
    }
  }
}

One

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "one": {
      "command": "npx",
      "args": [
        "-y",
        "@withone/mcp"
      ],
      "env": {
        "ONE_SECRET": "YOUR_ONE_SECRET_HERE"
      }
    }
  }
}

Frequently asked questions

Neurolink is categorized under Aggregators and uses a local stdio subprocess. One belongs to Aggregators and uses a local stdio subprocess. Pick Neurolink for aggregators work and One for aggregators.

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.

Neurolink is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. One has no declared pricing — check the project's own site. Auth: api key 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 juspay-neurolink and one as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Neurolink has a quality signal of 63/100 (Good) with 5 views, 0 installs and 157 GitHub stars. One has 60/100 (Good) with 0 views, 0 installs and 11 GitHub stars.