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Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 9:15:58 AM

Agent

User RatingsBe the first to rate and review this MCP server!
View Repository502 GitHub StarsTotal stargazers on GitHub for the source repository (502 stars).
mcpaggregatordeveloper-toolsagent-workflows

Aggregates multiple MCP servers behind one runtime with CLI discovery, filtering, presets, and HTTP or stdio access.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "1mcp-agent": {
      "command": "npx",
      "args": [
        "-y",
        "@upstash/context7-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🔗 More in Aggregators

Overview

The 1mcp/agent MCP server aggregates multiple MCP servers behind a single runtime started with `1mcp serve`. It supports CLI workflows that let agents read instructions, inspect a server or tool, and run a selected tool progressively. Static servers can load at startup, while template servers resolve from client or session context. Reach for it when several clients or projects need shared MCP configuration, centralized filtering, presets, or runtime management.

Use cases

•Centralize several MCP servers for multiple clients
•Give coding agents progressive tool discovery
•Resolve template servers per repository or session
•Apply shared filters and presets across projects

Key features

•Aggregated MCP runtime
•CLI instructions, inspection, and invocation
•Template-server resolution
•Preset and filter support
•Streamable HTTP and stdio proxy access
•Optional lazy loading and backend recovery

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Agent.

Extracted Tool Capabilities
Aggregated MCP runtime
CLI instructions, inspection, and invocation
Template-server resolution
Preset and filter support
Streamable HTTP and stdio proxy access
Optional lazy loading and backend recovery

How Agent works

What 1mcp/agent MCP server does

The 1mcp/agent MCP server puts multiple MCP backends behind one aggregated runtime. Instead of configuring every upstream server separately in each client, operators can register them with 1MCP and expose the resulting inventory through a single serve process.

The runtime supports static servers loaded from startup configuration and template servers created after client or session context becomes available. It can also combine instructions from the configured servers, apply presets and filters, and send preset change notifications.

For agent-style use, the 1mcp/agent MCP server provides a narrower command workflow than exposing every backend tool at once. Agents can request runtime instructions, inspect a server or an individual tool, and invoke a tool after examining its schema.

How it works

Start the runtime with 1mcp serve. Clients can then connect in several ways:

  • CLI mode uses instructions, inspect, and run for progressive discovery.
  • 1mcp proxy provides a stdio-compatible path while retaining project context and template-server support.
  • Native MCP clients can connect to the runtime over streamable HTTP.

The runtime may use asynchronous loading to make the HTTP listener available earlier when a client can reconcile capability changes. Lazy loading is optional and presents a stable discovery surface based on tool_list, tool_schema, and tool_invoke. It reduces the initial schema payload, but does not reduce backend connections or processes.

Setup and configuration

Install the package globally with npm, add upstream servers through the 1MCP CLI, and start the runtime:

Terminal
npm install -g @1mcp/agent
1mcp mcp add context7 -- npx -y @upstash/context7-mcp
1mcp serve

CLI mode can then be configured for supported agent workflows with commands such as 1mcp cli-setup --codex or 1mcp cli-setup --claude --scope repo --repo-root .. A project can use .1mcprc when the proxy path needs project-specific context. The README also points to configuration, authentication, and architecture documentation for runtime operators, but does not specify credential names or authentication settings in the provided material.

Tools and capabilities

  • Aggregate many MCP servers behind one runtime.
  • Discover instructions, server details, and tool schemas progressively.
  • Invoke a selected upstream tool through CLI mode.
  • Resolve template servers using client or session context.
  • Apply presets and filters across the shared server inventory.
  • Optionally recover owned stdio backends and expose health or status information.
  • Serve native HTTP clients or stdio-compatible clients through the documented paths.

Limitations and notes

CLI mode requires an already running 1mcp serve instance. The stdio proxy also depends on that runtime, while direct HTTP attachment does not provide project context or .1mcprc handling and exposes a broader tool surface directly.

Lazy loading is opt-in and is intended to reduce initial schemas rather than backend resource usage. The README notes that it does not repair orphaned proxy processes. Direct stdio mode is described mainly as a debugging option because startup is slower than a thin standalone stdio setup.

For a given agent, the documentation recommends choosing one connection mode and removing an older direct MCP configuration before switching that agent to CLI mode.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
502
Stargazers on the source repository.
Last commit
Today
Most recent push to the default branch.
Directory activity
1 installs
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Agent

Install it globally with npm using `npm install -g @1mcp/agent`.

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Technical Specs & Signals

Category🔗Aggregators
PricingFree
More technical detailsExpand â–¾
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseApache-2.0
ClientsCursor
Last updatedSep 10, 2026
96/96 checks healthy over the last 24h
Views9
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs1
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars502
GitHub Star CountTotal stargazers on GitHub representing community popularity (502 stars).
Last commitToday
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 10, 2026
51Quality signal: Good · 51/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity9/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 14d ago via OSV.dev · @upstash/context7-mcp (npm)

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More in 🔗 Aggregators →Alternatives to Agent →Install in Claude DesktopInstall in CursorInstall in VS Code