{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_abhinavbansal17-mcp-headless-gmail","slug":"abhinavbansal17-mcp-headless-gmail","name":"mcp-headless-gmail","type":"mcp","url":"https://github.com/AbhinavBansal17/mcp-headless-gmail","page_url":"https://unfragile.ai/abhinavbansal17-mcp-headless-gmail","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","email","smithery:AbhinavBansal17/mcp-headless-gmail"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_abhinavbansal17-mcp-headless-gmail__cap_0","uri":"capability://tool.use.integration.headless.gmail.message.retrieval.with.pagination","name":"headless-gmail-message-retrieval-with-pagination","description":"Fetches recent Gmail messages via the Gmail API without requiring local browser automation or UI interaction. Implements pagination through message list queries to retrieve metadata (sender, subject, timestamp, message ID) in batches, enabling LLM agents to discover and iterate over inbox contents programmatically. Uses Gmail API's labelIds and maxResults parameters to filter and limit result sets.","intents":["I need my AI agent to read recent emails from my inbox without opening Gmail in a browser","I want to paginate through Gmail messages to find specific conversations or senders","I need to retrieve email metadata (subject, from, date) to make decisions about which emails to process next"],"best_for":["AI agents and LLM-based workflows that need email awareness","headless server environments without UI capabilities","teams building email-triggered automation pipelines"],"limitations":["Retrieves only recent messages — no full-text search across entire mailbox history","Pagination limited by Gmail API rate limits (typically 1000 requests/user/100 seconds)","Message list queries return metadata only; full body retrieval requires separate API calls per message"],"requires":["Gmail API credentials (OAuth 2.0 client ID or service account)","Google Cloud Project with Gmail API enabled","Valid refresh token or access token passed at runtime"],"input_types":["query parameters (labelIds, maxResults, pageToken)","OAuth 2.0 access token"],"output_types":["JSON array of message objects with id, threadId, labelIds, snippet, internalDate"],"categories":["tool-use-integration","email-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abhinavbansal17-mcp-headless-gmail__cap_1","uri":"capability://data.processing.analysis.chunked.email.body.retrieval.with.streaming","name":"chunked-email-body-retrieval-with-streaming","description":"Retrieves the full MIME body of a Gmail message and parses it into structured chunks (plain text, HTML, attachments metadata) via the Gmail API's messages.get endpoint with format=full. Implements chunking logic to break large email bodies into manageable pieces for LLM context windows, preventing token overflow when processing lengthy emails. Handles multipart MIME structures to extract text/plain and text/html parts separately.","intents":["I need to read the complete body of an email, not just the snippet preview","I want to process long emails by breaking them into chunks that fit my LLM's context window","I need to extract both plain text and HTML versions of email bodies for different downstream uses"],"best_for":["LLM agents that need to understand full email content for decision-making","workflows processing emails with large attachments or complex MIME structures","systems with strict token budgets that require intelligent chunking"],"limitations":["Chunking strategy not specified in repository — likely naive line-based or character-based splitting rather than semantic chunking","Attachment bodies are not fully retrieved — only metadata (filename, MIME type) is extracted","Large emails (>25MB) may hit Gmail API payload limits; no built-in streaming or resumable download","HTML parsing is basic — no CSS stripping or semantic structure preservation"],"requires":["Gmail API credentials with message read scope","Valid access token with gmail.readonly or gmail.modify permission","Message ID from prior message list retrieval"],"input_types":["message ID (string)","chunk size parameter (optional, integer)","format preference (plain text or HTML)"],"output_types":["JSON object with chunks array, each containing text content, MIME type, and sequence number"],"categories":["data-processing-analysis","email-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abhinavbansal17-mcp-headless-gmail__cap_2","uri":"capability://tool.use.integration.runtime.credential.injection.with.oauth.token.management","name":"runtime-credential-injection-with-oauth-token-management","description":"Accepts Gmail OAuth 2.0 credentials (access token, refresh token, client ID, client secret) at runtime rather than requiring local .env files or hardcoded secrets. Implements automatic token refresh logic using the Gmail API's OAuth 2.0 refresh flow, detecting token expiration and silently obtaining new access tokens without interrupting agent workflows. Credentials are passed as MCP server parameters or environment variables at startup, enabling secure deployment in containerized and serverless environments.","intents":["I want to deploy this Gmail integration in a Docker container without baking secrets into the image","I need my email agent to keep working even if the access token expires mid-workflow","I want to pass different Gmail credentials for different users without restarting the server"],"best_for":["teams deploying MCP servers in containerized/Kubernetes environments","multi-tenant SaaS platforms that need per-user Gmail access","CI/CD pipelines and serverless functions that inject secrets at runtime"],"limitations":["Refresh token must be obtained out-of-band via OAuth 2.0 consent flow — MCP server does not implement the full OAuth flow","No built-in credential rotation or expiration monitoring — relies on Gmail API to reject expired tokens","Credentials stored in memory only — no persistence across server restarts; requires re-injection on each startup","No support for service account JSON keys — only user OAuth 2.0 tokens"],"requires":["Valid Gmail OAuth 2.0 refresh token (obtained via prior authorization)","Google Cloud Project with OAuth 2.0 credentials (client ID, client secret)","Environment variables or MCP parameter injection mechanism"],"input_types":["environment variables: GMAIL_ACCESS_TOKEN, GMAIL_REFRESH_TOKEN, GMAIL_CLIENT_ID, GMAIL_CLIENT_SECRET","MCP server initialization parameters"],"output_types":["implicit — no direct output; enables all other Gmail API capabilities"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abhinavbansal17-mcp-headless-gmail__cap_3","uri":"capability://tool.use.integration.email.composition.and.sending.with.mime.construction","name":"email-composition-and-sending-with-mime-construction","description":"Constructs and sends emails via the Gmail API's messages.send endpoint by building RFC 5322-compliant MIME messages programmatically. Accepts recipient addresses, subject, body (plain text and/or HTML), and optional attachments as structured input, then encodes them into base64-encoded MIME format required by Gmail API. Handles multipart message construction (text/plain + text/html alternatives, attachments as separate parts) without requiring external SMTP libraries.","intents":["I want my AI agent to send emails in response to events or user requests","I need to compose emails with both plain text and HTML versions for better client compatibility","I want to send emails with attachments programmatically from my agent"],"best_for":["LLM agents that need to take action by sending emails","automation workflows triggered by email events","systems that generate email responses dynamically based on AI reasoning"],"limitations":["Attachment support not explicitly documented — likely limited to small files (<25MB per Gmail API limits)","No built-in email template engine — requires pre-formatting of HTML bodies","No scheduling support — emails are sent immediately; no draft creation or delayed send","No CC/BCC field support mentioned — likely only To, From, Subject, Body","No DKIM/SPF signing — relies on Gmail's default signing; custom domain signing not supported"],"requires":["Gmail API credentials with gmail.send or gmail.modify scope","Valid access token with send permission","Recipient email address(es)"],"input_types":["JSON object with to (string or array), subject (string), body (string), htmlBody (optional string), attachments (optional array)"],"output_types":["JSON object with messageId and threadId from Gmail API response"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abhinavbansal17-mcp-headless-gmail__cap_4","uri":"capability://tool.use.integration.mcp.protocol.integration.for.llm.agent.orchestration","name":"mcp-protocol-integration-for-llm-agent-orchestration","description":"Implements the Model Context Protocol (MCP) server specification, exposing Gmail capabilities as callable tools that LLM agents can invoke through a standardized interface. Defines MCP tools with JSON schemas for each Gmail operation (list messages, get body, send email), enabling Claude, other LLMs, and agentic frameworks to discover and call Gmail functions without custom integration code. Handles MCP request/response serialization and error propagation back to the agent.","intents":["I want Claude or another LLM to be able to read and send emails as part of an agentic workflow","I need a standardized way to expose Gmail capabilities to multiple LLM models without rewriting integration code","I want my agent to discover available email operations and their parameters automatically"],"best_for":["teams building multi-tool AI agents with Claude or other LLMs","frameworks implementing MCP client support (e.g., Claude Desktop, custom agent runtimes)","organizations standardizing on MCP for tool integration across multiple services"],"limitations":["MCP protocol overhead adds latency (~50-100ms per tool call) compared to direct API calls","Tool schemas must be manually defined and kept in sync with implementation — no automatic schema generation","Error handling depends on MCP client implementation — some clients may not properly propagate Gmail API errors","No built-in rate limiting or quota management — relies on Gmail API quotas; no circuit breaker pattern"],"requires":["MCP client implementation (Claude Desktop, custom agent framework, or MCP SDK)","Node.js runtime (likely — language not specified in repo)","MCP server configuration file or environment setup"],"input_types":["MCP tool call requests with JSON parameters"],"output_types":["MCP tool result responses with JSON data or error objects"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abhinavbansal17-mcp-headless-gmail__cap_5","uri":"capability://automation.workflow.automatic.token.refresh.with.expiration.handling","name":"automatic-token-refresh-with-expiration-handling","description":"Monitors access token expiration and automatically invokes the Gmail OAuth 2.0 refresh endpoint to obtain new tokens before they expire or when API calls fail with 401 Unauthorized. Implements retry logic that catches token expiration errors, refreshes the token silently, and retries the original request without exposing token management complexity to the agent. Maintains refresh token securely in memory and uses it to generate new access tokens as needed.","intents":["I want my email agent to keep working for hours or days without manual token refresh","I need transparent token management so my agent doesn't have to handle expiration errors","I want to avoid interrupting long-running workflows due to token expiration"],"best_for":["long-running agents that process emails over extended periods","unattended automation workflows that cannot prompt for re-authentication","systems that need high availability and minimal manual intervention"],"limitations":["Refresh token itself does not expire in Gmail's standard implementation, but may be revoked by user — no handling for revocation detection","Token refresh adds latency (~500ms-1s) when triggered; no proactive refresh before expiration to avoid this latency","No metrics or logging for token refresh events — difficult to debug token-related issues in production","Refresh token stored in memory only — lost on server restart; requires re-injection"],"requires":["Valid Gmail OAuth 2.0 refresh token","Google Cloud Project OAuth 2.0 credentials (client ID, client secret)","Network connectivity to Google's OAuth 2.0 token endpoint"],"input_types":["implicit — automatic based on token expiration"],"output_types":["implicit — returns new access token for use in subsequent API calls"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Gmail API credentials (OAuth 2.0 client ID or service account)","Google Cloud Project with Gmail API enabled","Valid refresh token or access token passed at runtime","Gmail API credentials with message read scope","Valid access token with gmail.readonly or gmail.modify permission","Message ID from prior message list retrieval","Valid Gmail OAuth 2.0 refresh token (obtained via prior authorization)","Google Cloud Project with OAuth 2.0 credentials (client ID, client secret)","Environment variables or MCP parameter injection mechanism","Gmail API credentials with gmail.send or gmail.modify scope"],"failure_modes":["Retrieves only recent messages — no full-text search across entire mailbox history","Pagination limited by Gmail API rate limits (typically 1000 requests/user/100 seconds)","Message list queries return metadata only; full body retrieval requires separate API calls per message","Chunking strategy not specified in repository — likely naive line-based or character-based splitting rather than semantic chunking","Attachment bodies are not fully retrieved — only metadata (filename, MIME type) is extracted","Large emails (>25MB) may hit Gmail API payload limits; no built-in streaming or resumable download","HTML parsing is basic — no CSS stripping or semantic structure preservation","Refresh token must be obtained out-of-band via OAuth 2.0 consent flow — MCP server does not implement the full OAuth flow","No built-in credential rotation or expiration monitoring — relies on Gmail API to reject expired tokens","Credentials stored in memory only — no persistence across server restarts; requires re-injection on each startup","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.37,"ecosystem":0.52,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:25.061Z","last_scraped_at":"2026-05-03T15:19:33.056Z","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=abhinavbansal17-mcp-headless-gmail","compare_url":"https://unfragile.ai/compare?artifact=abhinavbansal17-mcp-headless-gmail"}},"signature":"QLI475No8a4cKQeAt7WdRPaCElTYIdRW25wtiTQvrJ/PoI8XICmzHJpUAe4hzNaThsWV9QWYrd85LQIIyjLSDg==","signedAt":"2026-06-22T07:16:32.719Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/abhinavbansal17-mcp-headless-gmail","artifact":"https://unfragile.ai/abhinavbansal17-mcp-headless-gmail","verify":"https://unfragile.ai/api/v1/verify?slug=abhinavbansal17-mcp-headless-gmail","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"}}