Dare
MCPB · DARE-MCP-SERVER-0.2.0.MCPB
Generate AI video and images on Dare (Seedance, Veo, Kling, Hailuo), billed to your own Dare credits
Available components
Last scanned (6 hours ago)
Scores higher than 86% of MCPB servers
Category Design and Media
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security23
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs were checked across the 93 of 93 dependencies we could resolve, so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- 30 of 93 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 8 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability72
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1846 tokens (~142/item across 13 items; 13 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 23 Oct 26 +4
- Stability: unverified → 0.23 ▲ functional
- 16 Oct 26 47
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 24 Oct 2026 · Analysed mcpb/https://github.com/avi-aggarwal14/dare-mcp-server/releases/download/mcpb-0.2.0/dare-mcp-server-0.2.0.mcpb@0.2.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | mcpb |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Dependencies 93 packages
| Packages resolved | 93 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
dare_cancel_generation Cancel a Dare generation ~42
Cancel an in-flight generation. Use when a job was started by mistake, to stop it consuming credits.
| Name | Type | Req | Description |
|---|---|---|---|
| generation_id | string | yes | Generation id to cancel. |
No output schema declared.
No examples provided.
dare_delete_generation Delete a Dare generation ~50
Permanently delete a generation and its output from the Dare library. Destructive and irreversible — confirm with the user first. Does not refund credits.
| Name | Type | Req | Description |
|---|---|---|---|
| generation_id | string | yes | Generation id to delete. |
No output schema declared.
No examples provided.
dare_delete_upload Delete a Dare upload ~60
Permanently delete an uploaded reference asset from the Dare library. Destructive and irreversible — confirm with the user first. Generations that already used it are unaffected.
| Name | Type | Req | Description |
|---|---|---|---|
| upload_id | string | yes | Upload id from dare_upload_media or dare_list_uploads. |
No output schema declared.
No examples provided.
dare_estimate_cost Estimate Dare credit cost ~258
Estimate the credit cost of a generation before running it, using Dare's own pricing table. Purely local arithmetic: no network request, no credits spent. Use this to check affordability, compare quality tiers, or size a batch.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Aspect ratio; affects cost on `gpt-image-2` only. |
| audio_enabled | boolean | – | Whether audio is generated (affects Veo and Kling). |
| count | integer | – | How many variations to generate. |
| duration_seconds | integer | – | Clip length in seconds (video). |
| kind | string | – | What is being generated. |
| model | string | yes | Model id, e.g. `seedance-2-5`. |
| quality | string | – | Quality tier, e.g. `720p` for video or `2k` for image. |
| reference_count | integer | – | Number of reference assets attached (images count toward image-model surcharges). |
| reference_video_seconds | number | – | Total seconds of video references attached; billed in addition on Seedance 2.5. |
| video_reference_count | integer | – | How many of the references are video clips. Only video references earn Seedance's 0.6x discount. |
No output schema declared.
No examples provided.
dare_generate_image Generate an image on Dare ~189
Generate a still image on Dare with Nano Banana 2, GPT Image 2 or Seedream 5 Pro. SPENDS CREDITS. Useful for producing a reference frame to feed into dare_generate_video.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Aspect ratio such as `16:9` or `1:1`. |
| count | integer | – | Number of variations. |
| dry_run | boolean | – | Validate and price without submitting. Spends nothing. |
| model | string | – | Image model id. |
| project_id | string | – | Optional Dare project id. |
| prompt | string | yes | What the image should show. |
| quality | string | – | Quality tier, e.g. `1k`, `2k`, `4k`. |
| reference_storage_keys | array | – | Storage keys to use as references. |
| wait_seconds | integer | – | Block up to this long for the result. |
No output schema declared.
No examples provided.
dare_generate_video Generate a video on Dare ~448
Generate a video from a text prompt on Dare, defaulting to Seedance 2.5. SPENDS CREDITS from the signed-in Dare account (a 10s 720p Seedance 2.5 clip is ~110 credits; call dare_estimate_cost first). Returns generation ids immediately. Rendering is slow — Seedance 2.5 jobs commonly take 5–15 minutes — so leave wait_seconds at 0 and poll with dare_get_generation, or set it only if your client tolerates long tool calls. Attach reference images, clips or audio by uploading them first with dare_upload_media and passing the storage keys.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Aspect ratio such as `16:9`, `9:16` or `auto`. |
| audio_enabled | boolean | – | Generate synchronised audio where the model supports it. |
| count | integer | – | Number of variations. Each one costs credits. |
| dry_run | boolean | – | Validate the request, resolve references and price it, but do not submit. Spends nothing. Returns the exact spec that would be sent. |
| duration_seconds | integer | – | Clip length in seconds. Seedance 2.5: 4–30; Seedance 2.0: 4–15; Kling: 3–15; Veo: 4/6/8 (8 with a reference); Hailuo: fixed. Ignored when a Seedance 2.5 video reference sets it. |
| model | string | – | Video model id. Seedance 2.5 supports up to 30 seconds. |
| project_id | string | – | Optional Dare project to file the generation under. |
| prompt | string | yes | What the video should show. Be specific about subject, action, camera and style. |
| quality | string | – | Quality tier, e.g. `480p` or `720p` for Seedance 2.5. |
| reference_storage_keys | array | – | Storage keys from dare_upload_media to use as reference images, clips or audio. |
| wait_seconds | integer | – | Block up to this many seconds waiting for the result. 0 returns immediately. |
No output schema declared.
No examples provided.
dare_get_credit_balance Get Dare credit balance ~60
Fetch the signed-in Dare account's current credit balance. Read-only. Use before a large batch to confirm there is enough headroom.
| Name | Type | Req | Description |
|---|---|---|---|
| response_format | string | – | `markdown` for a readable summary, `json` for the raw payload. |
No output schema declared.
No examples provided.
dare_get_generation Get a Dare generation ~167
Fetch one generation by id: its status (queued, processing, succeeded, failed), credits charged, and — once finished — the output asset URL. Read-only. Poll this after dare_generate_video; video jobs commonly take 5–15 minutes. Use wait_seconds to block for up to that long per call, sized to what your client's tool timeout allows (e.g. 45 for desktop apps, 300+ for Claude Code), and call again until status is terminal.
| Name | Type | Req | Description |
|---|---|---|---|
| generation_id | string | yes | Generation id returned by a dare_generate_* tool. |
| response_format | string | – | `markdown` for a readable summary, `json` for the raw payload. |
| wait_seconds | integer | – | Poll until the generation leaves a pending state, up to this many seconds. |
No output schema declared.
No examples provided.
dare_list_generations List Dare library items ~95
List recent items in the Dare library — generations and uploads, newest first — with cursor pagination. Read-only. Use it to find an earlier video's id or an upload's storage key.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | string | – | `next_cursor` from a previous call. |
| limit | integer | – | Items per page. |
| response_format | string | – | `markdown` for a readable summary, `json` for the raw payload. |
No output schema declared.
No examples provided.
dare_list_models List Dare models ~97
List the video and image models available on Dare with their supported durations, aspect ratios, quality tiers and reference limits. Call this before generating so parameters are valid for the chosen model, and dare_estimate_cost for prices. Makes no network request and spends no credits.
| Name | Type | Req | Description |
|---|---|---|---|
| kind | string | – | Which model family to list. |
| response_format | string | – | `markdown` for a readable summary, `json` for the raw payload. |
No output schema declared.
No examples provided.
dare_list_projects List Dare projects ~50
List the account's Dare projects, for filing generations under a project id. Read-only.
| Name | Type | Req | Description |
|---|---|---|---|
| response_format | string | – | `markdown` for a readable summary, `json` for the raw payload. |
No output schema declared.
No examples provided.
dare_list_uploads List Dare uploads ~76
List previously uploaded reference media with their storage keys. Read-only, cursor-paginated.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | string | – | `next_cursor` from a previous call. |
| limit | integer | – | Items per page. |
| response_format | string | – | `markdown` for a readable summary, `json` for the raw payload. |
No output schema declared.
No examples provided.
dare_upload_media Upload reference media to Dare ~152
Upload an image, video or audio file to Dare and return its storage key, for use as a reference in dare_generate_video or dare_generate_image. Accepts a local file path, a public URL, or base64 bytes. Spends no credits.
| Name | Type | Req | Description |
|---|---|---|---|
| base64 | string | – | Base64-encoded file bytes. |
| content_type | string | – | MIME type, e.g. `image/png`. Inferred when omitted. |
| file_path | string | – | Absolute path to a local file this server can read. |
| name | string | – | Display name in the Dare library. |
| project_id | string | – | Optional Dare project id. |
| url | string | – | Public URL to download and upload. |
No output schema declared.
No examples provided.
How do I install the Dare MCP server?
Dare ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. Before opening it, check the file's SHA-256 matches the one the MCP registry declares for it, 02504e640acb0d66d765dfc70aee143e5a1be3b3ea9d6375edf11844dfef8710; the commands to do that are on this page. If it does not match, do not open it.
mcpb · dare-mcp-server-0.2.0.mcpb
Download bundleCheck the download matches the SHA-256 the MCP registry declares before you open it. If it does not match, do not open the file.
SHA-256
02504e640acb0d66d765dfc70aee143e5a1be3b3ea9d6375edf11844dfef8710
macOS / Linux
echo "02504e640acb0d66d765dfc70aee143e5a1be3b3ea9d6375edf11844dfef8710 dare-mcp-server-0.2.0.mcpb" | shasum -a 256 -c
Windows (PowerShell)
(Get-FileHash -Algorithm SHA256 .\dare-mcp-server-0.2.0.mcpb).Hash -eq "02504e640acb0d66d765dfc70aee143e5a1be3b3ea9d6375edf11844dfef8710"
Run it in the folder you saved the bundle to, then open the file with an MCPB-capable host such as Claude Desktop.
What is the Dare MCP server?
Dare is an MCP server listed in the public MCP registry as io.github.avi-aggarwal14/dare-mcp-server. Generate AI video and images on Dare (Seedance, Veo, Kling, Hailuo), billed to your own Dare credits. This page covers its MCPB bundle (https://github.com/avi-aggarwal14/dare-mcp-server/releases/download/mcpb-0.2.0/dare-mcp-server-0.2.0.mcpb).
Is the Dare MCP server safe to use?
Dare scores 51 out of 100 on VerifyMCP. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Dare MCP server expose?
Dare exposes 13 tools: dare_list_models, dare_estimate_cost, dare_get_credit_balance, dare_generate_video, dare_generate_image, and 8 more. Their descriptions and schemas cost roughly 1,744 tokens of context every time the server is loaded.
What licence is the Dare MCP server under?
Dare declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.