Metorial vs Gumloop

Gumloop governs AI inside its own products. Metorial delivers the same approved tools and skills into every AI client your company uses.

Where Gumloop wins: Non-technical teams build and run agents in Gumloop itself (plus Slack and Teams), so the buyer gets the agent runtime, not only a tool endpoint.

Metorial is the stronger fit if you want self-hosting, on-prem deployment and an EU data region.

Every Gumloop fact below links to Gumloop's own page. Anything they don't publish is marked "Not published", not "No".

Where Gumloop wins

  • Non-technical teams build and run agents in Gumloop itself (plus Slack and Teams), so the buyer gets the agent runtime, not only a tool endpoint.source
  • Built-in model layer: Auto mode routes each message to a model and reasoning effort, with BYO provider keys and per-role model restrictions.source
  • Spend governance tied to roles: per-role monthly credit caps, per-chat credit warnings that pause for approval, and a capped overage default on Pro.source

Key differences

Each cell links to the page it comes from.

FeatureMetorialGumloop
Source licenseFSL-1.1-ALv2 engine (Apache 2.0 after two years); Apache-2.0 integration catalogsourceThe engine (metorial-platform) is source-available under FSL and converts to Apache 2.0 two years after each release. The integration catalog (metorial/metorial) is Apache-2.0.Not publishedClosed SaaS.
Self-hostYessourceNot published
Integration catalog1,000+source400+ connectorssource
One URL for all toolsYessourceYessourceVia Gumloop MCP server at mcp.gumloop.com/gumloop/mcp.
Per-user OAuthYessourceYessource
SSO (SAML or OIDC)YessourceYessourceSAML/OIDC; Enterprise.
SCIM provisioningYessourceYessourceSCIM guide covers Okta, Entra ID; Enterprise.
Role or group-based tool accessYessourceYessourceCustom roles; org-wide policies on Enterprise, agent-scoped on Pro.
Audit log per personYessourceYessourceEnterprise; also available via API and Gumloop MCP.
Create and edit skillsYessourceYessource
Git sync for skillsYessourceYessourceNew commits on the selected branch trigger sync; Pro and Enterprise.
Own chat app requiredNosourceNosourceAgents are built and run in Gumloop; external MCP clients can drive agents and call connected-app tools.
Prompt-injection detectionYessourceNot published
EU data regionYessourceNot published
SOC 2 Type IIYessourceYessource
LLM gateway or model routingNoPartialsourceModel router, BYO keys, custom proxy and per-role model restrictions apply to Gumloop agents; router API gives recommendations to your own code; not a proxy for external LLM traffic.
Starting price$0 (Dev); Scale from $250/monthsource$37/month (Pro, 20k credits)source

Which AI clients each works in

FeatureMetorialGumloop
Claude (web and desktop)YessourceYessource
Claude CodeYessourceNot published
ChatGPTYessourceYessourceChangelog 2026-09-29; no ChatGPT setup guide in docs.
CursorYessourceYessource
CodexYessourceNot published
GitHub CopilotYessourcePartialsourceVS Code setup via mcp-remote; Copilot not named explicitly.
Custom agents (SDK or API)YessourceNot publishedREST API, CLI and MCP exist for driving Gumloop agents; no SDK for building agents outside Gumloop found.

Full checklist

Every row we track, with what it means. "Not published" means the vendor's own pages don't say.

Connect

FeatureMetorialGumloop
Integration catalogHow many ready-made integrations or MCP servers the vendor publishes.1,000+source400+ connectorssource
Verified or official serversThe catalog includes servers the vendor tests or maintains, not only community listings.YessourceNot published
Bring your own MCP serverYou can add an MCP server you built or host yourself.YessourceYessourcePro and Enterprise.
Remote (HTTP) MCP serversConnects to MCP servers hosted elsewhere over HTTP.YessourceYessourceStreamable HTTP or SSE endpoints; managed tunnel for servers inside private networks.
Local, stdio or Docker serversRuns MCP servers that ship as local processes or containers.YessourcePartialsourceHosted MCPs deploy custom servers from GitHub repos; Pro limited to one server. No stdio/local runtime described.
One URL for all toolsA user adds one endpoint to their AI client and reaches every approved tool through it.YessourceYessourceVia Gumloop MCP server at mcp.gumloop.com/gumloop/mcp.
Version pinningYou can lock an integration to a known version.YessourcePartialsourceFor hosted MCPs; server URL always routes to latest production deployment, rollback by redeploy.
Schema change monitoringChanges to tool definitions are detected and flagged.YessourceNot published

AI clients

FeatureMetorialGumloop
Claude (web and desktop)Documented to work in the Claude apps.YessourceYessource
Claude CodeDocumented to work in Claude Code.YessourceNot published
ChatGPTDocumented to work in ChatGPT.YessourceYessourceChangelog 2026-09-29; no ChatGPT setup guide in docs.
CursorDocumented to work in Cursor.YessourceYessource
CodexDocumented to work in Codex.YessourceNot published
GitHub CopilotDocumented to work in GitHub Copilot.YessourcePartialsourceVS Code setup via mcp-remote; Copilot not named explicitly.
Custom agents (SDK or API)Your own agents can use the tools through an SDK or API.YessourceNot publishedREST API, CLI and MCP exist for driving Gumloop agents; no SDK for building agents outside Gumloop found.
Own chat app requiredYes means people must work inside the vendor’s own app rather than the AI client they already use.NosourceNosourceAgents are built and run in Gumloop; external MCP clients can drive agents and call connected-app tools.

Identity and access

FeatureMetorialGumloop
Per-user OAuthTool calls run with each person’s own account, not a shared key.YessourceYessource
Managed OAuth appsThe vendor provides OAuth apps so you don’t register your own.YessourceYessource
Bring your own OAuth appYou can use OAuth apps registered under your own company.YessourceNot published
SSO (SAML or OIDC)People sign in through your identity provider.YessourceYessourceSAML/OIDC; Enterprise.
SCIM provisioningUsers and groups sync automatically from your identity provider.YessourceYessourceSCIM guide covers Okta, Entra ID; Enterprise.
Role or group-based tool accessAccess to tools follows roles or groups.YessourceYessourceCustom roles; org-wide policies on Enterprise, agent-scoped on Pro.
Tool-level allow and denyIndividual tools can be allowed or blocked, not only whole servers.YessourceYessource
Read-only modesAn integration can be limited to read-only tools.YessourcePartialsourceApproval mode that gates writes, not a strict read-only mode.

Visibility and security

FeatureMetorialGumloop
Audit log per personEvery call is recorded and tied to the person or agent who made it.YessourceYessourceEnterprise; also available via API and Gumloop MCP.
Call tracingTool arguments and results are recorded for debugging and review.YessourceYessource
Log export or SIEMLogs can be exported or streamed to your security tools.YessourcePartialsourceAudit logs retrievable via API; no SIEM integration named.
Data redaction or DLPSensitive data in tool traffic can be detected, masked or blocked.YessourceNot publishedIncognito mode and data retention rules listed on pricing page, not DLP.
Prompt-injection detectionTool traffic is inspected for prompt-injection attacks.YessourceNot published
Tool-poisoning protectionMalicious or changed tool descriptions are detected.YesThrough Protoguard.Not published

Skills

FeatureMetorialGumloop
Create and edit skillsTeams can write and edit shared skills in the product.YessourceYessource
Git sync for skillsSkills sync to or from a Git repository.YessourceYessourceNew commits on the selected branch trigger sync; Pro and Enterprise.
Skills delivered by roleSkills reach people based on their role or group.YessourceYessourceShare with teams or org as Use only / Viewer.
Skills over MCPSkills are served to AI clients through MCP.Not publishedNot publishedGumloop MCP can create/manage skills, but skills are used by Gumloop agents; serving skills to external clients not documented.

Deployment

FeatureMetorialGumloop
Source licenseThe license the product’s code is published under, if any.FSL-1.1-ALv2 engine (Apache 2.0 after two years); Apache-2.0 integration catalogsourceThe engine (metorial-platform) is source-available under FSL and converts to Apache 2.0 two years after each release. The integration catalog (metorial/metorial) is Apache-2.0.Not publishedClosed SaaS.
Self-hostYou can run it on your own infrastructure.YessourceNot published
VPC or on-premCan be deployed in your own cloud account or data center.YessourcePartialsourceListed as Optional on Enterprise; details not published.
Air-gappedCan run with no internet connection.YesNot published
EU data regionData can be hosted in the EU.YessourceNot published

Compliance

FeatureMetorialGumloop
SOC 2 Type IIHolds a SOC 2 Type II report.YessourceYessource
ISO 27001Holds ISO/IEC 27001 certification.Not publishedNot published
HIPAASupports HIPAA workloads, usually with a BAA.YesSigns BAAs.Not published
GDPR and DPAStates GDPR compliance and offers a data processing agreement.YessourceA data processing agreement is published at /legal/data-processing-agreement.Yessource

Pricing

FeatureMetorialGumloop
Public pricingPrices are published on the vendor’s site.YessourceYessourceEnterprise is custom.
Free tierA free plan or free edition exists.YessourceNot publishedNo free plan listed; Pro has a 14-day free trial.
Starting priceThe lowest published paid price, as listed.$0 (Dev); Scale from $250/monthsource$37/month (Pro, 20k credits)source
Pricing modelHow the vendor charges: per seat, usage, platform fee, or a mix.Flat monthly plans with paid add-ons (extra seats, tool calls)sourceMonthly plan with included credits, usage-based overage at $0.005/credit, plus 8% orchestration feesource

Model layer

FeatureMetorialGumloop
LLM gateway or model routingRoutes model traffic, not only tool traffic.NoPartialsourceModel router, BYO keys, custom proxy and per-role model restrictions apply to Gumloop agents; router API gives recommendations to your own code; not a proxy for external LLM traffic.
Cost tracking per personShows AI spend per person or team.NoYessourcePer-role credit caps manageable via API (2026-08-18).

Which should you pick?

SituationPickWhy
Rolling AI out to every employee in the clients they already useEitherBoth connect to existing AI clients. Compare the client list below.
You must self-hostMetorialMetorial documents self-hosting; Gumloop's own pages don't state a self-hosted option.
You need an LLM gateway or model routing todayA dedicated model routerMetorial doesn't ship an LLM gateway, and Gumloop's pages don't state one.
Teams should share skills, not only toolsEitherBoth document shared skills; compare the Skills rows below.
You are building integrations into your own productMetorialOnly one side documents an SDK or API for your own agents.

Pricing

Published prices only. Nothing is estimated.

Metorial

  • Metorial Dev: $0 monthsource
  • Metorial Scale: $250 monthsource
  • Metorial for Enterprise: Contact salessource

Gumloop

  • Pro: Starts at $37 / month per month (org), includes 20k credits/month; 14-day free trialsource
  • Enterprise: Custom Pricing contact salessource
  • Overage credits billed at $0.005 per credit (Pro overage capped, default 1,000,000 credits / $5,000 per period)
  • Orchestration fee 8% of chat, compute and tool-call credits; 16% on BYOK chats
  • Compute 5 credits per session-minute; each successful connector tool call at least 1 credit

What each Metorial plan includes

From the Metorial pricing page.

IncludedMetorial DevMetorial ScaleMetorial for Enterprise
Tool calls per month500,0002,500,000Custom
Callbacks10,000100,000Custom
Workforce seats220Custom
Provider integrations10UnlimitedUnlimited
Log retention30 days90 daysCustom
Production accessNot includedIncludedIncluded

On every plan

  • Slack and email support
  • Auth Connections: Unlimited
  • Sessions: Unlimited
  • Concurrent Connections: Unlimited
  • Developer API Access
  • Custom Integrations
  • Remote MCP Servers
  • Managed MCP Servers

Gumloop limits

As published by the vendor.

  • Pro included credits: 20,000 per monthsource
  • Credit value: $0.005 per credit (200 credits per $1)source
  • Pro default overage cap: 1,000,000 credits ($5,000) per billing period; can be set lowersource
  • Hosted MCP servers: Pro: 1; Enterprise: customsource
  • Gumloop MCP server tools: 46 toolssource

Moving from Gumloop to Metorial

  • Remote MCP servers you use through Gumloop can be added to Metorial as they are.
  • OAuth apps registered under your company can be reused, so people sign in the way they do today.
  • Sign-in moves to your identity provider through SAML; groups decide who gets which tools.
  • Skills, policies and audit history in Gumloop don't transfer automatically. Talk to us about moving them.

Book a demo to plan the move with us.

Frequently asked questions

Common questions about Metorial and Gumloop.

  1. Is Gumloop open source?
    Gumloop's own pages don't state a source license.
  2. Gumloop's own pages don't say whether it can be self-hosted.
  3. Yes, Gumloop documents ChatGPT support.
  4. Metorial's Dev plan is free and Scale starts at $250 a month. Gumloop publishes Pro at Starts at $37 / month per month (org), includes 20k credits/month; 14-day free trial and Enterprise at Custom Pricing contact sales. The right answer depends on team size; see the pricing section.
  5. Yes. Metorial is SOC 2 Type 2 and GDPR compliant, with EU and US regions.
  6. Metorial's engine is published under FSL-1.1-ALv2 engine (Apache 2.0 after two years); Apache-2.0 integration catalog. You can self-host it or use the hosted platform.

Checked October 17, 2026. 32 Gumloop facts are sourced, each linked in its row. Spotted something wrong? Tell us and we will fix it. All product names are trademarks of their owners.

Try Metorial next to Gumloop

Start free, self-host from GitHub, or talk to us about your rollout.