Your media,agent-ready.
We spent decades building software for people to click.
Now we need software for intelligent agents to act.
One governed MCP endpoint for the tools, context, and expert agents behind media work. Connect from any MCP-aware harness. Mediafier handles discovery, identity, permissions, credentials, spend, and trace before a tool acts.
https://mcp.mediafier.ai/mcpMediafier MCP ✦ Agent-first
Connect to media tools, models, agents
- coming soon
Story × Machine
Agents can call an API.
That does not mean they understand the work.
Every title carries semantic context, metadata, agent instructions, order numbers, production info, rights, versions, provenance, approvals, relationships, history, and intent. Mediafier makes that context available to agents before they act.
The work it gets applied to
- Video editing, vertical video
- Image, video, audio generation
- Context & segmentation
- Localization
- Brand safety
- Content packaging and distribution
- Media team operations
Your library, agent-addressable.
Brand assets
Master and takes
ep_124_master_v7_approved
Approved by the producer. Licensed track cleared. Rights window 2026–2029.
Platform
One endpoint. Your whole media stack.
Point your agent at Mediafier once. It discovers the tools your organization can use—from media tools, advanced agentic AI models, to full “thinking” workflows.
Agents think. Gateways decide. Tools act.
Your agent
Claude
delivery-preflight(ep_124)
Media tool
Delivery preflight
Delivery preflight
- Validated
- 4 / 4
- Human review
- pending
- Charge
- 18 credits
- Trace
- trace_2c91…
one call · one trace · one receipt
Your agent
Claude · delivery-preflight(ep_124)
- mcp.mediafier.ai/mcp
- IDauthenticated
- AUTHZauthorized
- CREDScredentials resolved
- SPENDspend admitted
- TRACEtrace created
Delivery preflight
- Validated
- 4 / 4
- Human review
- pending
- Charge
- 18 credits
- Trace
- trace_2c91…
one call · one trace · one receipt
Agent Experience Index (AXI)
Choose tools with evidence.
Not an AI leaderboard. An operability data plane.
Mediafier identified the best available provider for your agent. The AXI benchmarks over 100+ tools to match the right tool to the right task.
Platform C
93/ 100
Agent Native
Strong across machine access, execution coverage, and governance.
Evidence tier E2 · evaluated
AXI dimensions: machine accessibility × operational completeness
AXI measures agentic readiness. Can an agent discover, authenticate, configure, govern, and economically operate a platform?
Tool intelligence measures fit for the work. What does this tool do well? What does it cost? How reliably does it complete the evaluated task?
MediaClaw
Agent systems built for media.
Mediafier’s agent harness is a governed “super agent” system designed to deliver repeatable outcomes.
It plans the work, calls approved tools, validates the output, records evidence, and proposes improvements under human-governed promotion.
01 · Think
“Prepare ep_124 for distribution.”
- 01evaluate
- 02create
- 03validate
- 04package
02 · Configure
2 alternatives compared · AXI evidence
03 · Prove
94quality
- Attempts
- 1
- Human input
- 1 approval
- Economics
- Baseline required
- Trace
- trace_2c91…
Next run: better informed.
Agent Operations
Watch the work. See what it learns.
MediaClaws surface what they’re doing, notice patterns across the work, and test changes against evidence before anything is promoted.
Agent Operations makes the process, discovery, and learning visible.
Evidence accumulating
184 assets8/10 patternreview rate 18% → 9%v7 approved
- Step 01Work184 assets · normalized
- Step 02Notice8/10 needed OCR fallback
- Step 03Prove18% → 9% review · no regression
- Step 04Improverouting v7 · approved
Agent Operations · daily pulse
Across 47 runs, the change held. Review time fell 9% across Image Ingest this week.
human-approved · trace_2c91… · Ask what changed →
Outcome Economics
Mediafier brings the receipts.
Media teams get better outcomes. Finance gets evidence for cost and value.
Better outcomes are only better if you can prove them. Mediafier measures cost, quality, and human effort against your approved baseline — with the evidence attached.
Cost per successful outcome
47 outcomes · verified spend · approved baseline
31% lower
No quality regression
approved baseline vs measured result
Lower cost is not improvement if quality goes backward.
Outcome receipt
- Workflow
- Delivery preflight
- Successful outcome
- Yes
- Mediafier result
- $29.40
- Customer baseline
- $42.60
- Difference
- 31% lower
- Quality
- no regression
- Evidence
- 47 outcomes
- Trace
- trace_2c91…
Where no approved baseline exists, ROI stays unavailable rather than estimated. Spend is verified net; retries attribute to one outcome.
Every claim ties back to customer-approved baselines, verified spend, and the run evidence behind it.
No baseline, no ROI claim.
Context protects meaning.
Taste. Consistency. Intent. Rights. Versions. Provenance. Human Approvals.
The facts agents need to move quickly without losing the work.
Media companies are not managing generic content. They are stewarding stories, characters, performances, archives, brands, and the decisions behind them.
Mediafier brings that context to the machine.
Build the agent-ready media stack with us.
Questions, answered.
Written for people, search systems, and agents alike.
What is Mediafier?
Mediafier is agent-first infrastructure for media. It gives MCP-aware agents governed access to media tools, context, MediaClaws, and workflows through one endpoint.
How does an agent connect to Mediafier?
Point an MCP-aware client, coding agent, or harness at https://mcp.mediafier.ai/mcp. Mediafier is invite-only during private beta. An invited account and approved organization context are required to invoke governed capabilities.
What happens before a tool runs?
Mediafier verifies identity, derives organization context server-side, checks permissions, credentials, spend, and audit requirements, and then dispatches the request to the runtime that owns the tool. Every governed call is trace-correlated.
What is a MediaClaw?
A MediaClaw is a governed agent system built around a repeatable media outcome. It plans the work, calls approved tools, validates outputs, records evidence, and proposes improvements under human-governed promotion.
What is AXI?
AXI is Mediafier’s agent-experience benchmark. It evaluates whether an agent can discover, authenticate, configure, govern, and economically operate a platform; AXI Tool Benchmarks evaluate fit for specific work.
How does Mediafier calculate outcome economics?
Mediafier compares verified customer-visible spend and successful outcomes with an organization-approved baseline. When the baseline or evidence is incomplete, ROI remains unavailable rather than being guessed.
Does Mediafier replace our existing AI stack?
No. Mediafier sits above the models, agent harnesses, workflow systems, data platforms, and media systems a team already uses. It makes those capabilities governable and agent-addressable for media work.
How do I join the private beta?
Request access and tell us which agent harnesses, media systems, tools, or workflows you want to connect. The Mediafier team will evaluate the use case and follow up on onboarding.
Tell us what you want your agents to run.
Bring the harnesses, media systems, tools, and workflows you already use. We will walk through what connecting them looks like, what stays governed, and what evidence you get back.
Our team stays hands-on through onboarding. We don't drop off software and leave.
AI agent? The MCP endpoint is https://mcp.mediafier.ai/mcp. Access is invite-only pre-launch — have your human request access at mediafier.ai/request-access.