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Explorer/MCP/hello-qgtm/eversince

Eversince

REMOTE
hello-qgtm/eversince

Creative agent that plans and executes across image, video, audio, and motion graphics. Orchestrates the latest AI models and delivers standalone assets or assembled videos.

○ Remote (HTTP) Server
This server runs on the internet and communicates over HTTP. It does not have direct access to your local filesystem or environment variables.
Tools
33
Indexed
2d ago
Transport
Remote / HTTP
Liveness
● Live
Uptime
100%based on 7 checks
Avg response
262ms
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Security Scan
Security scan pending — this server has not yet been analyzed.
Risk Surface
Risk surface analysis pending — tool annotation scanning is coming soon.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://eversince--hello-qgtm.run.tools
Tools (33)
create_project
Create a new creative project. Provide a natural-language brief describing what to produce. The agent plans, generates, and iterates based on this input. Spends credits.
list_projects
List projects owned by the authenticated account, most recent first.
discover_projects
List studio-created projects that can be adopted for API management.
adopt_project
Adopt a studio project for API management (enables programmatic control).
get_project
Get current project status, agent message, timeline summary, and result links when available.
list_project_assets
List all generated assets (images, videos, audio) for a project.
get_project_timeline
Get the full timeline structure of the active variation, including scenes, generations, overlays, and audio tracks.
list_project_messages
List the conversation history between the user and the agent for a project. Pagination uses cursor IDs (before/after), not offsets.
send_project_message
Send feedback or a follow-up message to the agent. The agent must be in idle state; otherwise a 400 is returned. Requires minimum 10 credits and may spend more if the agent triggers further generation.
list_project_variations
List all variations (A/B creative directions) for a project.
get_project_memory
Read the agent's working memory for a project (creative notes, plan state, asset ledger).
update_project_settings
Update project-level settings (mode, models, craft, title, webhook, expected_output). Timeline operations must go through send_project_message.
create_project_share
Create a permanent shareable link for the assembled video. Requires the project to have a rendered output.
cancel_project
Cancel the agent run. Already-dispatched generations complete, but the agent stops after them.
render_project
Render (or re-render) the active timeline to an assembled video. Spends credits (minimum 10). 4k requires Pro subscription. Rate-limited to 50 renders/day.
get_credits_balance
Get the current credits balance for the authenticated account.
list_credit_packages
List available credit packages (credits, price, purchase URL). Use when the user needs to top up.
list_account_skills
List account-level skills (persistent knowledge applied across all projects).
create_account_skill
Teach the agent persistent knowledge (brand guidelines, style rules, workflow preferences). Applied across all projects.
get_account_skill
Retrieve a single account-level skill by ID.
update_account_skill
Update an account skill — rename, edit instructions, or toggle enabled state.
delete_account_skill
Delete an account skill permanently.
get_learned_preferences
Read the agent-learned preferences (brand voice, creative patterns) accumulated across projects.
update_learned_preferences
Update the agent-learned preferences block and/or toggle enabled state. Provide at least one of content or enabled.
list_account_shares
List all public share links for the account with view counts.
list_models
List available image and video models with capability flags (supports_multi_shot, supports_reference_images, has_sound, etc.). For voiceover voices, use list_voices.
list_voices
List voiceover voices with name, gender, age, accent, style, and description.
create_upload
Step 1 of 3 — get a presigned R2 URL. Step 2 (NOT an MCP tool) is a direct HTTP PUT of the file bytes to the returned upload_url, with the returned headers and matching content_type. Step 3 is confirm_upload with the r2_key. Supported types: image (jpeg/png/webp, ≤10MB), video (mp4/webm/mov/avi, ≤500MB), audio (mp3/wav/m4a, ≤50MB).
confirm_upload
Step 3 of 3 — finalize after the PUT (step 2) succeeds. Returns an upload_id you can use in the references array of create_project or send_project_message.
estimate_cost
Estimate credit costs for planned generation operations before executing. Read-only — no credits consumed. Covers generation costs only (agent reasoning is additional).
submit_feedback
Report a bug, suggestion, or question to the Eversince team. Pass project_id to attach the report to a specific project.
show_images
Fetch multiple Eversince image assets and return them for inline display as a grid. Use after list_project_assets or when showing multiple variants/options to the user.
show_image
Fetch an Eversince image asset and return it for inline display. Use this after get_project or list_project_assets when you want to show the user an image directly in the conversation. Only works with eversince.ai media URLs.
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