Replicate MCP server
Run AI models, create deployments, and manage predictions via cloud API
31 stars158 downloads/wk
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Replicate tools (37, 15 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
cancel_predictionwrite actionCancel an in-progress prediction. This stops the model execution and prevents further processing of the prediction.
cancel_trainingwrite actionCancel an active or scheduled training session. Once cancelled, the training will no longer be available and participants will be notified of the cancellation.
create_deploymentwrite actionCreate a new deployment to run a specific model version on designated hardware with auto-scaling configuration. The deployment will be immediately available for inference requests.
create_deployment_predictionwrite actionCreate a prediction by running a model on a deployment with specified inputs. The request can optionally wait synchronously for results (up to 60 seconds) or return immediately with a prediction ID for asynchronous polling.
create_filewrite actionUpload a file with its content and optional metadata. The file is stored and can be referenced by its returned ID for use in other operations.
create_modelwrite actionCreate a new model in your account. Each account is limited to 1,000 models; for iterative improvements, create new versions of an existing model instead.
create_predictionwrite actionSubmit a prediction request to run a model with specified inputs. The request can optionally wait synchronously for results (up to 60 seconds) or return immediately with a prediction ID for asynchronous polling.
create_prediction_for_official_modelwrite actionCreate a prediction by running an official model. The request can optionally wait synchronously for up to 60 seconds for the model to complete, or return immediately with a starting status for asynchronous polling.
create_trainingwrite actionStart a new training job for a model version. The training will create a new version of the model at the specified destination when complete. Since training can take several minutes or longer, use webhooks or polling to track completion.
delete_deploymentwrite actionDelete a deployment that has been offline and unused for at least 15 minutes. The operation returns a 204 status code on successful deletion.
delete_filewrite actionPermanently delete a file by its ID. Once deleted, the file resource will no longer be accessible and subsequent requests will return a 404 Not Found error.
delete_modelwrite actionPermanently delete a private model you own. The model must have no versions associated with it—delete all versions before attempting to delete the model itself.
delete_model_versionwrite actionPermanently delete a specific model version and all associated predictions and output files. Deletion is asynchronous and may take several minutes to complete.
get_accountRetrieve information about the authenticated account associated with the provided API token, including account type, username, display name, and GitHub URL.
get_collectionRetrieve a collection of models by its slug, including the collection metadata and all models within it.
get_default_webhook_secretRetrieve the signing secret for the default webhook endpoint. Use this secret to verify that incoming webhook requests are authentically from Replicate.
get_deploymentRetrieve detailed information about a specific deployment, including its current release configuration, hardware settings, and scaling parameters.
get_fileRetrieve detailed metadata and information about a specific file by its ID.
get_file_downloadDownload a file using authenticated access credentials. Requires the file ID, owner information, and a cryptographically signed URL that includes an expiration timestamp.
get_modelRetrieve detailed metadata for a specific model, including its latest version, input/output schemas, and example prediction. Returns comprehensive information about the model's configuration, visibility, and usage statistics.
get_model_readmeRetrieve the README documentation for a specific model. Returns the README content as plain text in Markdown format.
get_model_versionRetrieve detailed metadata and schema information for a specific version of a model, including its OpenAPI schema that describes the model's inputs and outputs.
get_predictionRetrieve the current state and results of a prediction, including its status, output, logs, and performance metrics.
get_trainingRetrieve the current state and results of a training job, including status, metrics, logs, and output artifacts.
list_available_hardwareRetrieve a list of all available hardware accelerators and compute resources that can be used for running models on Replicate.
list_collectionsRetrieve a paginated list of model collections available on Replicate, each containing curated groups of related models organized by use case or capability.
list_deploymentsRetrieve a paginated list of all deployments associated with your account, sorted by most recent first. Each deployment includes its current release configuration with model, version, and hardware settings.
list_filesRetrieve a paginated list of all files created by the user or organization associated with the API token, sorted with the most recent file first.
list_model_examplesRetrieve all example predictions that were saved by the model author to demonstrate the model's capabilities. Use this to browse illustrative examples; for just the default example, use the get_model operation instead.
list_model_versionsRetrieve all versions of a model owned by a specific user or organization, sorted with the most recent version first. Returns paginated results including version metadata and OpenAPI schemas.
list_modelsRetrieve a paginated list of publicly available models, optionally sorted by creation date or latest version update.
list_predictionsRetrieve a paginated list of all predictions created by your user or organization, including those from both API and web sources. Results are sorted with the most recent prediction first, returning up to 100 records per page.
list_trainingsRetrieve a paginated list of all trainings created by your user account or organization. Results include trainings from both API and web sources, sorted by most recent first, with 100 records per page.
search_modelsSearch for public models on Replicate using a text query. Returns a paginated list of models matching your search criteria.
search_models_collections_and_docsSearch across public models, collections, and documentation using a text query. Results include detailed metadata such as AI-generated descriptions, tags, and relevance scores to help identify the most suitable resources.
update_deploymentwrite actionModify an existing deployment's configuration, including hardware SKU, scaling limits, and model version. Each update increments the deployment's release number.
update_model_metadatawrite actionUpdate metadata properties for an existing model, including description, documentation, and resource links. Only specified properties are updated; omitted properties remain unchanged.
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan5 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 138 days ago8/15
- Maintainer identityregistry namespace matches repository owner7/10
How Replicate compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 80/100
- higher than 60% of 48,255 servers
- Tools
- 37
- the typical server has 7
- Tools that change things
- 41%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 31
- more than 92% of 28,688 servers
- Downloads a week
- 158
- more than 71% of 12,191 servers with a package
What its tools let an agent do: 22 read · 7 create · 2 change · 6 delete
Install Replicate in Claude Code, Cursor or VS Code
claude mcp add replicate -- uvx mcparmory-replicate
What the publisher says
From the Replicate repository's README, as published. We do not edit it. Read it on GitHub
MCP Armory Registry
Production-ready MCP servers for popular APIs, generated by MCP Blacksmith.
Servers · Install & Usage · Features · How it works · License
MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.
<!-- SERVERS:BEGIN -->
Servers
🧠 AI & Machine Learning   ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate
📊 Analytics   Ahrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog
⛓️ Blockchain & Crypto   Alchemy NFT
💼 CRM & Sales   Apollo
💬 Communication   Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack
🗄️ Data & Databases   Enigma · Pinecone
🛠️ Developer Tools   AgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry
📄 Documents & Printing   PDF.co
🛒 E-commerce   Shopify Admin
💰 Finance   Alpha Vantage · Polygon · Ramp
👥 HR & Recruiting   BambooHR
☁️ Infrastructure   Globalping · Grafana · PagerDuty · Rootly · Runpod
⚖️ Legal & Compliance   NetLicensing
🗺️ Maps & Location   Google Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Replicate: common questions
- Is Replicate MCP server safe?
- Mostly: it is graded B (80/100). Read the Replicate safety report
- How do I install Replicate?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Replicate need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Replicate maintained?
- The last commit was 176 days ago (2026-05-12). The latest release is v1.0.2.
- How does Replicate compare with other MCP servers?
- safety score 80/100 (higher than 60% of 48,255 servers); tools 37 (the typical server has 7); tools that change things 41% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.