One portal for all your MCP servers

One portal for all your MCP servers

onemcp is a portal that unifies multiple Model Context Protocol (MCP) servers behind a single endpoint so AI clients connect once while the portal handles routing, native OAuth, and a Code Mode meta-tool interface to dramatically reduce prompt bloat and simplify agent workflows.

One portal for all your MCP servers is ai agents software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Contact for pricing API 70/100
One of 579 tools in AI Agents
Added 1 month ago
Data reviewed Aug 24, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Software & Gaming

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

Software & Gaming

Pricing snapshot

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onemcp provides a single portal endpoint that aggregates multiple MCP servers so AI clients only need to connect once. The portal handles routing, native upstream OAuth, and exposes three Code Mode meta-tools (search, describe, execute) so models script against tools on demand rather than embedding hundreds of tool schemas in every prompt. It is aimed at teams building agents and workflows that call multiple upstream services (GitHub, Slack, Postgres, etc.) and want to reduce prompt context, centralize auth, and simplify client configuration.

onemcp unifies all your Model Context Protocol (MCP) servers behind one portal endpoint. Connect your AI client once — native OAuth and Code Mode, no credential sprawl or context bloat.

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Key Features

Unified endpoint

Expose all MCP servers behind a single portal URL so clients only need one connection and you can add or swap upstream servers without touching client config.

Code Mode (three meta-tools)

Replace hundreds of tool definitions with three meta-tools (search, describe, execute) so the model discovers and scripts tools on demand, dramatically reducing prompt size.

Native upstream OAuth

Portals authenticate to upstream servers with a full OAuth flow so credentials stay host-side and are not scattered across clients.

Per-portal auth scoping

The same upstream server can carry different credentials in different portals — auth is scoped to portal membership rather than a global account.

Import & export portals

Move a portal between environments or share a setup as a single portable config file.

Request logs

See every client request flowing through a portal to debug what agents are actually calling.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Agent development and deployment

Let agents discover and script across many tool servers using a single endpoint and Code Mode meta-tools instead of shipping huge tool definitions in prompts.

Reduce prompt/context bloat

Shrink per-request system prompt size from thousands of tokens to a few hundred so the model's window focuses on the task rather than tool schemas.

Centralized credential management

Keep upstream OAuth credentials host-side and scope credentials per-portal to limit credential distribution across clients.

Multi-environment portability

Export and import portal configs to move or share tool mappings across environments quickly.

Integrations

GitHub

Example upstream MCP server (github.create_issue, github.search_issues shown in examples).

Slack

Example upstream MCP server for messaging (slack.post_message, slack.list_channels shown).

Postgres

Example upstream MCP server for database queries (postgres.query, postgres.list_tables shown).

Linear

Issue tracking server (linear.create_issue shown).

Notion

Content/notes server (notion.create_page shown).

Jira

Issue/ticketing server (jira.create_ticket shown).

Stripe

Payments server (stripe.create_refund shown).

Sentry

Error/issue tracking server (sentry.list_issues shown).

Benefits

Dramatically smaller prompt/context footprint per request (examples show ~90–97% smaller).
Simplified client configuration: one endpoint instead of many server-specific connections.
Improved security posture by keeping OAuth credentials server-side and scoping auth per-portal.
Faster agent iteration because models script on demand rather than parsing large tool schemas.
Central visibility into requests via portal request logs for debugging and auditing.

Limitations

Enterprise-grade controls (access policies, allowlisting, DLP, audit logs) are referenced as available via Cloudflare's MCP Server Portals rather than detailed on this page.
Clients must use the portal's Code Mode meta-tool pattern (search/describe/execute) rather than relying on all upstream tool schemas being present in every prompt.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Create your first portal on the onemcp site (Create your first portal →).
  2. 2 Step 2: Configure upstream MCP servers in the portal config (example: ~/.config/mcp.json with mcpServers entries for GitHub, Slack, Postgres, etc.).
  3. 3 Step 3: Point your AI client at the portal endpoint and use the portal meta-tools (search, describe, execute) to script against tools.

Support

docs

Project site and getting started content available at https://onemcp.dev/

API

Available: Yes
Documentation:

https://onemcp.dev/

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