StackOne vs Ncp
A side-by-side look at the StackOne and Ncp MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
S
StackOneAggregatorsIntegration infrastructure for AI agents. Take actions across 200+ enterprise tools.37FairAuth: not declaredVerdict: choose StackOne for aggregators work; choose Ncp for aggregators as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Ncp 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 want tools like
sequentialthinking.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | S StackOne | |
|---|---|---|
| Category | Aggregators | Aggregators |
| Quality signal | 37/100 · Fair | 69/100 · Great |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | — | 100 |
| Directory activity | 0 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | Not listed | 1 |
| Full listing | View StackOne | View Ncp |
Tools & capabilities
StackOne tools
No tool names declared yet. Check the project README from the listing page.
Ncp tools 1
sequentialthinkingA detailed tool for dynamic and reflective problem-solving through thoughts. This tool helps analyze problems through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - Breaking down complex problems into steps - Planning and design with room for revision - Analysis that might need course correction - Problems where the full scope might not be clear initially - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Generates a solution hypothesis - Verifies the hypothesis based on the Chain of Thought steps - Repeats the process until satisfied - Provides a correct answer Parameters explained: - thought: Your current thinking step, which can include: * Regular analytical steps * Revisions of previous thoughts * Questions about previous decisions * Realizations about needing more analysis * Changes in approach * Hypothesis generation * Hypothesis verification - nextThoughtNeeded: True if you need more thinking, even if at what seemed like the end - thoughtNumber: Current number in sequence (can go beyond initial total if needed) - totalThoughts: Current estimate of thoughts needed (can be adjusted up/down) - isRevision: A boolean indicating if this thought revises previous thinking - revisesThought: If is_revision is true, which thought number is being reconsidered - branchFromThought: If branching, which thought number is the branching point - branchId: Identifier for the current branch (if any) - needsMoreThoughts: If reaching end but realizing more thoughts needed You should: 1. Start with an initial estimate of needed thoughts, but be ready to adjust 2. Feel free to question or revise previous thoughts 3. Don't hesitate to add more thoughts if needed, even at the "end" 4. Express uncertainty when present 5. Mark thoughts that revise previous thinking or branch into new paths 6. Ignore information that is irrelevant to the current step 7. Generate a solution hypothesis when appropriate 8. Verify the hypothesis based on the Chain of Thought steps 9. Repeat the process until satisfied with the solution 10. Provide a single, ideally correct answer as the final output 11. Only set nextThoughtNeeded to false when truly done and a satisfactory answer is reached
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.
StackOne
No confirmed install command for StackOne yet — follow the setup steps linked from its listing page rather than a guessed package name.
Ncp
{
"mcpServers": {
"portel-dev-ncp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}
Frequently asked questions
StackOne is categorized under Aggregators and uses an install path we have not confirmed yet. Ncp belongs to Aggregators and uses a local stdio subprocess. Pick StackOne for aggregators work and Ncp 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. StackOne has no confirmed install command yet — follow its own setup instructions.
StackOne has no declared pricing — check the project's own site. Ncp is listed as free. 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 stackone and portel-dev-ncp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, StackOne has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Ncp has 69/100 (Great) with 3 views, 0 installs and 100 GitHub stars.