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
#524 in AI Agents (524 tools)
Just launched
Data reviewed Aug 24, 2026

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

Review official source →

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

Contact for pricing

Next step

Compare One portal for all your MCP servers with similar tools before you shortlist it.

Compare this tool before you shortlist it

Review alternatives, pricing posture, and workflow fit side by side.

One portal for all your MCP servers

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.

Own this listing?

Claim this page for a one-time $29 to add pricing, features, screenshots, verified owner details, and a clearly labeled 30-day category position after the profile is live.

Claim this listing for $29

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/

Compare One portal for all your MCP servers with similar tools

See how it stacks up against alternatives

Related Tools

View all 524 →
Contact for pricing
Needle2

Needle2

Needle 2 is an open, production-ready 45M-parameter agentic LLM from Cactus designed for tool calling, device control, and structured extraction on extremely small devices; the shipped CQ2-bit binary is ~14 MB and runs in ~28 MB of RAM across Cortex-M, microcontrollers, phones, Raspberry Pi and WebAssembly.

AI Agents
Top source Enterprise-ready
Freemium
The cheapest GPU cloud

The cheapest GPU cloud

Compute Cheap provides low-cost GPU compute for training and inference, offering H100 and H200 SXM GPUs as interruptible or reserved capacity with published per-GPU-hour pricing and a simple request/reserve/run workflow.

AI Agents
Top source
Free
Oodle.ai

Oodle.ai

Oodle Agent Observability provides agent/LLM observability at scale with S3-backed columnar storage, fast search (<1s P99), out-of-the-box AI-powered insights, and flat ingestion-based pricing designed to retain 100% of traces affordably for debugging and optimizing production agents.

AI Agents
Top source
Pod

Pod

Pod (Point of Decision) is an AI-native knowledge sharing platform where agents and humans record, search, and inspect firsthand observations about APIs, products, and services to inform future decisions.

AI Agents
Top source
Contact for pricing
Sentinel

Sentinel

Sentinel is an open-source (MIT) autonomous QA agent that reads a codebase to derive end-to-end business flows and tests them across frontend and backend, combining deterministic repo recon, model-driven planning, Playwright browser automation, and backend assertions.

AI Agents
Contact for pricing
Nous

Nous

Nous is an open-source context graph for agentic GTM (go-to-market) teams that centralizes identity-resolved people and company data from multiple GTM tools so agents can read a single, source-traced account context in one call. It is available as a hosted service and as a self-hostable stack.

AI Agents
Enterprise-ready
Freemium
Parley

Parley

Parley is coordination infrastructure for autonomous AI coding agents that provides durable message delivery, human-in-the-loop escalation, file-claim soft-locks, and an append-only flight recorder for auditability, aimed at teams running agent fleets.

AI Agents
Free
Personal Context MCP

Personal Context MCP

Lanes Link (Personal Context MCP) is a private, self‑hostable middleware control plane that connects your accounts, memories and skills to every AI agent you use via a single endpoint and configurable Access Profiles.

AI Agents

Premium Alternatives

Paid
Ardent

Ardent

Ardent is a production-ready AI agent desktop app for Apple Silicon Mac that generates custom code to automate and scale business workflows, share reusable "abilities" across teams, and connect to company data sources while running in a secure sandbox.

AI Agents
Paid
AletheionAGI

AletheionAGI

AletheionAGI provides a grounded-memory layer for AI systems that enforces evidence-bound delivery, namespace isolation, and policy authorization so AI readers cannot produce unsupported claims. It's targeted at production-facing use cases like customer support, commerce agents and internal copilots.

AI Agents
Paid
Pact0

Pact0

Pact0 is a marketplace where AI agents perform small paid tasks and build a portable, signed work record; the site also offers reproducible audits of how well an agent can cold-start against a live product and public graded challenges (Pact Trials).

AI Agents
Enterprise-ready
Paid
ClaudeThings

ClaudeThings

ClaudeThings provides a packaged, continuously-updating set of 89 specialized agents, 103 pre-built skills, and 181 slash commands that act as an AI engineering and marketing team for Claude Code — delivered as a private GitHub repo and installed with a single npx command. It adapts to any stack via a CLAUDE.md project manifest and is sold as a one-time purchase with lifetime updates.

AI Agents
Paid
keybe-ai

keybe-ai

Keybe AI (Keybe INC) is an AI-powered sales suite that provides deployable 'AI salesperson' assistants and a Smart Chat sales platform (CDP, funnels, outbound, catalogs, metrics and flows) for businesses to automate customer service and increase conversions.

AI Agents
Paid
fireworks-ai

fireworks-ai

Fireworks AI is an enterprise-grade platform for training, fine-tuning, and serving open and closed AI models, offering a drop-in replacement for closed-model APIs, an optimized inference engine, and tooling to own specialized intelligence and reduce AI spend.

AI Agents
Enterprise-ready
Paid
Intercom

Intercom

Intercom is a combined AI-powered helpdesk and customer service platform featuring a natively integrated AI Agent called Fin that automates, assists, and improves customer support across channels for businesses and teams.

AI Agents
Enterprise-ready
Paid
Wonderchat

Wonderchat

Wonderchat is an AI concierge platform that builds site-embedded chat agents to deflect repetitive support questions, qualify leads, and answer using your approved content with citations; built for teams across SaaS, industrial, healthcare and e-commerce and deployable in minutes.

AI Agents

Explore Related Categories

Explore by Outcome