{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_replyio-replyio","slug":"replyio-replyio","name":"Reply.io","type":"mcp","url":"https://support.reply.io/en/articles/12955018-connecting-reply-mcp-to-your-ai-model","page_url":"https://unfragile.ai/replyio-replyio","categories":["mcp-servers","deployment-infra","app-builders"],"tags":["mcp","model-context-protocol","smithery:replyio/replyio"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_replyio-replyio__cap_0","uri":"capability://data.processing.analysis.real.time.performance.analytics.retrieval","name":"real-time performance analytics retrieval","description":"This capability allows the AI model to pull real-time performance metrics such as delivery, open, reply, and click rates for email sequences. It utilizes the Reply.io MCP server's API to fetch this data dynamically, enabling users to analyze sequence performance without needing to access the dashboard. The integration with the MCP framework allows for seamless communication between the AI model and Reply.io's backend services.","intents":["How can I check the open and reply rates for my email sequences?","Can I identify underperforming sequences through my AI assistant?","What are the click rates for specific steps in my outreach campaigns?"],"best_for":["sales teams looking to optimize outreach strategies"],"limitations":["Data is only available for active sequences; historical data retrieval is not supported."],"requires":["API key for Reply.io","MCP-compatible AI model"],"input_types":["text"],"output_types":["structured data"],"categories":["data-processing-analysis","sales-analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_replyio-replyio__cap_1","uri":"capability://tool.use.integration.sequence.management.through.natural.language","name":"sequence management through natural language","description":"This capability enables users to manage their outreach sequences using natural language commands. The AI model communicates with the Reply.io MCP server to enroll contacts, pause or start sequences, and check step-level statistics. This interaction is facilitated by a natural language processing layer that interprets user commands and translates them into API calls, streamlining the workflow.","intents":["Can I enroll a new contact in a sequence while chatting?","How do I pause a sequence without using the dashboard?","What are the current statuses of my outreach sequences?"],"best_for":["B2B sales teams seeking to streamline their outreach processes"],"limitations":["Limited to commands supported by the MCP API; complex actions may require manual intervention."],"requires":["API key for Reply.io","MCP-compatible AI model"],"input_types":["text"],"output_types":["text","structured data"],"categories":["tool-use-integration","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_replyio-replyio__cap_2","uri":"capability://automation.workflow.campaign.state.control.via.ai","name":"campaign state control via ai","description":"This capability allows the AI to control the state of outreach campaigns, such as starting or pausing sequences based on real-time analysis. The integration with the Reply.io MCP server enables the AI to execute these commands directly, facilitating a responsive outreach strategy that adapts to performance metrics and user interactions.","intents":["How can I start or pause my outreach sequences using AI?","Can my AI assistant manage campaign states based on performance?","What commands can I give to control my outreach campaigns?"],"best_for":["sales teams looking to automate campaign management"],"limitations":["State changes may take a few seconds to reflect in the system; real-time updates are not guaranteed."],"requires":["API key for Reply.io","MCP-compatible AI model"],"input_types":["text"],"output_types":["text"],"categories":["automation-workflow","campaign-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_replyio-replyio__cap_3","uri":"capability://automation.workflow.end.to.end.outreach.workflow.automation","name":"end-to-end outreach workflow automation","description":"This capability allows the AI to automate the entire outreach workflow, from prospecting to enrollment, follow-up, and performance analysis. By leveraging the Reply.io MCP server, the AI can execute a series of predefined actions in response to user inputs, effectively managing the outreach process without human intervention. This is achieved through a combination of API orchestration and intelligent decision-making.","intents":["Can I automate my entire outreach process using AI?","How do I set up an AI agent to handle prospecting and follow-ups?","What steps can my AI take to manage outreach campaigns?"],"best_for":["sales teams looking to fully automate outreach"],"limitations":["Requires careful setup of workflows; complex scenarios may require manual oversight."],"requires":["API key for Reply.io","MCP-compatible AI model"],"input_types":["text"],"output_types":["text","structured data"],"categories":["automation-workflow","sales-automation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":33,"verified":false,"data_access_risk":"high","permissions":["API key for Reply.io","MCP-compatible AI model"],"failure_modes":["Data is only available for active sequences; historical data retrieval is not supported.","Limited to commands supported by the MCP API; complex actions may require manual intervention.","State changes may take a few seconds to reflect in the system; real-time updates are not guaranteed.","Requires careful setup of workflows; complex scenarios may require manual oversight.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:28.137Z","last_scraped_at":"2026-05-03T15:19:42.882Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=replyio-replyio","compare_url":"https://unfragile.ai/compare?artifact=replyio-replyio"}},"signature":"2FAKpoVoXVHyJGSExNBeNefZN/BpsLD14NBAr90vFQ+euJaJN2nvJU27iJ5VBRxK6fu18lQ0bnNQ0iCMDmSpDQ==","signedAt":"2026-06-21T03:07:49.823Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/replyio-replyio","artifact":"https://unfragile.ai/replyio-replyio","verify":"https://unfragile.ai/api/v1/verify?slug=replyio-replyio","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}