allmcps-server – MCP server for MCP servers is a skill AI agent for To provide centralized control and orchestration for multiple MCP servers, supporting the build-out of complex, distributed AI agent systems. Pricing: Not specified. As of 2026-10-27, KanonAgent records 1 upvotes. First indexed by KanonAgent on 2026-08-10.
allmcps-server is a management layer for coordinating multiple MCP servers, enabling scalable and organized deployment of AI agent infrastructure.
1 upvotes
Tracked by Kanon since Aug 10, 2026
Status basis: npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
📈 Timelinewhat changed, and when
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 10 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 10 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -2 per 3d from 12 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -2 per 3d from 12 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 12 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 12 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -8 per 3d from 21 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -9 per 3d from 35 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 3 per 3d from 28 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 21 in the last 3d vs 10 in the 3d before (ratio 2.1x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 3 per 3d from 28 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 35 in the last 3d vs 4 in the 3d before (ratio 8.8x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 28 in the last 3d vs 11 in the 3d before (ratio 2.5x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 19 in the last 3d vs 11 in the 3d before (ratio 1.7x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 20 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 20 (<= 40% of the prior window)
- Anomaly daily change 17.0 is 27.6 standard deviations from this entity's own prior mean (-10.6±0.8, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 17.0 is 27.6 standard deviations from this entity's own prior mean (-10.6±0.8, baseline excludes this point) — unusual, not necessarily adoption
- first observed Kanon started keeping permanent history for this agent
🔎 Known / Unknown
12 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | mcp,claude,cursor | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneTo provide centralized control and orchestration for multiple MCP servers, supporting the build-out of complex, distributed AI agent systems.
Who it is forEngineers and platform teams building large-scale AI agent ecosystems using the Model Control Protocol (MCP) standard.
Prerequisitesopen source · self-hostable
Integrationsmcp · claude · cursor
PricingNot specified
Traction · why it is risingEmerging adoption as MCP gains traction as a foundational protocol for agent-based systems, creating demand for infrastructure to manage its deployment.
Why it matters
It addresses a critical gap in the MCP ecosystem by offering cluster-level management, making it a foundational component for scalable AI agent architectures.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“The official local MCP server for AllMCPs.com”— readme
“This package is a thin stdio bridge to the AllMCPs remote MCP endpoint”— readme
“directly from Claude, Cursor, or any MCP-compatible agent.”— readme
Signal source: Show HN
Visit official site →
📛 Official badgefor your site / README
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FAQ
What is allmcps-server?
allmcps-server is a management layer for coordinating multiple MCP servers, enabling scalable and organized deployment of AI agent infrastructure.
What does allmcps-server do?
To provide centralized control and orchestration for multiple MCP servers, supporting the build-out of complex, distributed AI agent systems.
Why does allmcps-server matter?
It addresses a critical gap in the MCP ecosystem by offering cluster-level management, making it a foundational component for scalable AI agent architectures.
How much does allmcps-server cost?
Not specified
Is allmcps-server open source?
Yes — allmcps-server is open source.
Can I self-host allmcps-server?
Yes — allmcps-server can be self-hosted.
What does allmcps-server integrate with?
mcp,claude,cursor
How popular is allmcps-server?
As tracked by KanonAgent: 1 upvotes (first indexed 2026-08-10).
What are the best allmcps-server alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.