Skillselion MCP vs Ncp
A side-by-side look at the Skillselion MCP and Ncp MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Skillselion MCP for aggregators work as a local process; 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 Skillselion MCP when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- You want tools like
search_skillselion, load_skill, synthesize_skills.
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 | ||
|---|---|---|
| Category | Aggregators | Aggregators |
| Quality signal | 60/100 · Good | 69/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | 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 | 1 | 100 |
| Directory activity | 1 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 4 | 1 |
| Full listing | View Skillselion MCP | View Ncp |
Tools & capabilities
Skillselion MCP tools 4
search_skillselionSearch Skillselion, a curated directory of Claude Code agent skills, MCP servers and plugin marketplaces, ranked by real community signal (installs + GitHub stars). Use to browse trusted skills/MCPs/marketplaces for the task at hand (e.g. "postgres", "code review", "playwright"). Skill searches blend keyword + semantic ranking (same matcher as load_skill). To actually USE a skill, call load_skill (with an id from here, or directly with a query - it searches for you).load_skillLoad a community-vetted skill into your context on demand - like installing it mid-task. Reach for this when a task is in a domain a skill likely covers (tests, frontend/UI, an API/DB, infra, a named framework) and a proven recipe would beat improvising - most valuable in territory you are less sure of, or fast-moving stacks where your memory may be stale. You MUST pass `context` (your task + stack + constraints): it ranks candidates, fits them to your current repo, flags dependency mismatches, and keeps the load deliberate. Returns the best match (real SKILL.md + bundled scripts/refs materialized to a temp folder, used like an installed skill) PLUS the next-best candidates so you can switch. Always verify the loaded skill against your project before trusting it. For broad "current best practices across the field" tasks that span several skills, use synthesize_skills instead.synthesize_skillsPull the BEST rules across the top matching community skills and merge them into one cross-source playbook - use for broad "how should I approach X / current best practices" tasks that span multiple skills, or when you want the field's combined guidance rather than one skill's. For a single specific skill (and its bundled scripts/files), use load_skill instead. Pass your task as `query` and your stack + constraints as `context` (required). Returns a deduped, provenance-tagged rule digest plus each source skill materialized on disk.top_skillselionList the top entries on Skillselion (the leaderboard), optionally by type. Skills rank by installs; MCP servers and marketplaces by GitHub stars.
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.
Skillselion MCP
{
"mcpServers": {
"skillselion-skillselion-mcp": {
"command": "npx",
"args": [
"-y",
"skillselion-mcp"
]
}
}
}
Ncp
{
"mcpServers": {
"portel-dev-ncp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}
Frequently asked questions
Skillselion MCP is categorized under Aggregators and uses a local stdio subprocess. Ncp belongs to Aggregators and uses a local stdio subprocess. Pick Skillselion MCP 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.
Skillselion MCP 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 skillselion-skillselion-mcp and portel-dev-ncp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Skillselion MCP has a quality signal of 60/100 (Good) with 1 views, 0 installs and 1 GitHub stars. Ncp has 69/100 (Great) with 3 views, 0 installs and 100 GitHub stars.
