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Introducing Runway Dev MCP. Connect to the Runway developer platform from inside your coding agent to build, debug and manage. Set up Model Routers, lookup tasks, and more all without leaving your agent. Start building at the link below.

20,761 次观看 • 1 个月前 •via X (Twitter)

22 条评论

Runway 的头像
Runway1 个月前

Start building:

Malzahran 的头像
Malzahran1 个月前

🤯🤯

Storyverse 的头像
Storyverse1 个月前

The major shift here is generation becoming something you call from where the work already happens rather than a site you visit. Does the router let you pin a model version so a sequence stays consistent across a project?

Jabbar Digital 的头像
Jabbar Digital1 个月前

Spin up Model Routers and look up tasks without leaving the chat.
 sounds cool

Aina Ai | Tools & Updates 的头像
Aina Ai | Tools & Updates1 个月前

Devs stay in flow build debug manage Runway right inside your agent

reAPI 的头像
reAPI1 个月前

Agree on agent-native media tooling. The gap after MCP is usually discoverability: agents need machine-readable catalogs, not PDF docs. We expose OpenAPI + per-model llms.txt + a skills index so coding agents can submit/poll image and video tasks without scraping.

Fajar M Reza 的头像
Fajar M Reza1 个月前

MCP inside coding agents could make creative API experiments feel less fragmented.

Enzo Ricci 的头像
Enzo Ricci1 个月前

nice, agent-native tooling is becoming the default developer workflow

RAZA | AI EXPLORER 的头像
RAZA | AI EXPLORER1 个月前

Runway inside your coding agent means less context switching and a much smoother build workflow.

Ella Tech & Tool 的头像
Ella Tech & Tool1 个月前

This is huge ⚡ Building just got faster

安叫兽|Bird🕊️ 🔶 BNB 的头像
安叫兽|Bird🕊️ 🔶 BNB1 个月前

省得在代理和后台之间来回切,调试顺手多了

Hamid AI 的头像
Hamid AI1 个月前

This is a strong step toward making AI development workflows more seamless—excited to see what builders create with it

Evelyn 的头像
Evelyn1 个月前

Exciting step forward—bringing Runway’s developer platform directly into coding agents makes building and managing AI workflows much more seamless

PHICER 的头像
PHICER1 个月前

Bringing platform operations into the coding agent can compress iteration loops. The trust boundary matters just as much: scoped credentials, explicit side-effect previews, auditable actions, and safe retry semantics should travel with the convenience.

Cody McLain 的头像
Cody McLain1 个月前

centralizing these tasks within your coding agent could massively speed up development workflows

lindsey 的头像
lindsey1 个月前

Keeping build, debug, and manage in one place is the real win—less tab shuffle, more shipping.

reAPI 的头像
reAPI1 个月前

Agent-native media tooling needs more than MCP: agents need machine-readable catalogs. We expose OpenAPI + per-model llms.txt + a skills index so coding agents can submit/poll image and video without scraping docs.

Nk McGregor 的头像
Nk McGregor1 个月前

the agent stays in the project now ngl i love an mcp while creating

Amit Vyas ❖ 的头像
Amit Vyas ❖1 个月前

Decoupling tool binding via standardized protocols (like MCP) solves 80% of state sync issues across multi-agent swarms. Clean architectural shift.

Raihan Khan 的头像
Raihan Khan1 个月前

another "don't open the dashboard" surface model routers, task lookup, debug from inside cursor / claude / codex same shape as the ads mcp wave hosted tools where the agent already lives

lost in latency 的头像
lost in latency1 个月前

fire, hook me up g

Joe Qiao 的头像
Joe Qiao1 个月前

Runway just stopped being "an AI video tool" and became "AI video infrastructure." This MCP move is genuinely ambitious — they're betting that agent-first workflows will become the main entry point for content production. Get the SDK into Cursor / Claude Code first, and you lock in the next generation of creators' minds.

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