io.github.RightNow-AI/forge-mcp-server
NPM · @RIGHTNOW/FORGE-MCP-SERVER · SCANNED AUG 3
Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
Available components
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 →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (105 of 109), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (105 of 109), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
- 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 184 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability84
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 885 tokens (~98/item across 9 items; 7 tools + 2 resources), lean.Pass
- 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 Coverage94
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 82% of tool parameters carry a description.Partial
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · @rightnow/forge-mcp-server
claude mcp add rightnow-ai-forge-mcp-server -- npx -y @rightnow/forge-mcp-server
codex mcp add rightnow-ai-forge-mcp-server -- npx -y @rightnow/forge-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"rightnow-ai-forge-mcp-server": {
"type": "local",
"command": [
"npx",
"-y",
"@rightnow/forge-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add rightnow-ai-forge-mcp-server --command npx --arg -y --arg @rightnow/forge-mcp-server
mcp_servers:
rightnow-ai-forge-mcp-server:
command: "npx"
args: ["-y", "@rightnow/forge-mcp-server"] {
"mcpServers": {
"rightnow-ai-forge-mcp-server": {
"command": "npx",
"args": [
"-y",
"@rightnow/forge-mcp-server"
]
}
}
} 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.
- 3 Aug 26 −3
No change was recorded against any check on this day. Supply Chain Security went from 97 to 87. Other categories moved too: Stability & Change Management rose 4.
- 2 Aug 26 +19
- Malware scan: unverified → pass ▲ security
- Stability: unverified → 0.23 ▲ functional
- 1 Aug 26 +29
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Schema quality: unverified → good ▲ functional
- Licence: MIT functional
- 31 Jul 26 −8
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 +10
- Malware scan: pass → unverified ▼ security
- Tool coverage: unverified → 100 ▲ functional
- Schema quality: unverified → 100 ▲ functional
- 28 Jul 26 −28
- Schema quality: 100 → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- 27 Jul 26 46
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 3 Aug 2026 · Analysed npm/@rightnow/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 105 packages
105 packages in the resolved dependency tree · 105 deprecated · 32 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
forge_auth Authenticate with Forge ~69
Authenticate with the RightNow Forge GPU kernel optimization service. Opens the user's browser to sign in via the RightNow dashboard. Required before using any other Forge tools. If valid tokens already exist, verifies them without opening the browser.
| Name | Type | Req | Description |
|---|---|---|---|
| force | boolean | — | Force re-authentication even if tokens exist |
No output schema declared.
No examples provided.
forge_cancel Cancel Optimization ~45
Cancel a running Forge optimization job. Credits may be refunded if less than 20% of iterations completed.
| Name | Type | Req | Description |
|---|---|---|---|
| session_id | string | yes | The session ID of the job to cancel |
No output schema declared.
No examples provided.
forge_credits Check Forge Credits ~59
Check your current Forge credit balance. Each single-GPU optimization costs 1 credit. Credits are only charged for successful optimizations (speedup >= 1.1x). Credits are lifetime (not monthly) and can be purchased on the dashboard.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
forge_generate Generate GPU Kernel ~217
Generate an optimized GPU kernel from scratch based on a specification. Use this when you need to create a new high-performance kernel without existing PyTorch code. Forge will generate a PyTorch baseline first, then optimize it into Triton or CUDA. Requires authentication via forge_auth first. Cost: 1 credit per generation.
| Name | Type | Req | Description |
|---|---|---|---|
| description | string | yes | Detailed description of what the kernel should do |
| dtype | string | — | Data type (float16, float32, bfloat16) |
| gpu | string | — | — |
| input_shapes | array | yes | Input tensor shapes, e.g., [[8, 512, 768]] for a single input |
| max_iterations | number | — | — |
| operation | string | yes | Operation name (e.g., "fused_attention", "custom_gelu", "softmax", "matmul") |
| output_format | string | — | Output format |
| output_shape | array | — | Expected output tensor shape |
| target_speedup | number | — | — |
| user_prompt | string | — | — |
No output schema declared.
No examples provided.
forge_optimize Optimize GPU Kernel ~382
Submit PyTorch code to Forge for GPU kernel optimization. Forge generates optimized Triton or CUDA kernels, evaluates them on real H100/A100 GPUs, and returns the best result with speedup metrics over torch.compile(max-autotune). USE THIS TOOL WHEN YOU SEE: - PyTorch custom operations (torch.autograd.Function, custom forward/backward) - Manual CUDA kernels that could be faster - Performance-critical tensor operations (attention, convolution, normalization, softmax) - Code with comments like "slow", "bottleneck", "optimize", "performance" - torch.compile() targets or triton.jit kernels - Any nn.Module with significant compute in forward() - Matrix multiplication, reduction, or scan operations - Custom loss functions with reduction operations - Fused operation opportunities (e.g., LayerNorm + activation) The tool streams real-time progress and blocks until optimization completes (1-10 minutes). Cost: 1 credit per optimization (only charged if speedup >= 1.1x). Requires authentication via forge_auth first.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | — | Target GPU for optimization and benchmarking |
| kernel_name | string | yes | Short descriptive name for this kernel (e.g., "flash_attention", "fused_layernorm") |
| max_iterations | number | — | Maximum optimization iterations. More iterations = higher chance of better speedup. |
| output_format | string | — | Output format. "triton" is recommended (portable, readable). "native_cuda" for maximum control. |
| pytorch_code | string | yes | Complete PyTorch code to optimize. Must be a runnable module with a model class. |
| target_speedup | number | — | Target speedup multiplier over torch.compile baseline |
| user_prompt | string | — | Optional guidance for the optimizer (e.g., "focus on memory bandwidth", "use shared memory tiling") |
No output schema declared.
No examples provided.
forge_sessions List Optimization Sessions ~49
List past Forge optimization sessions with their results. Useful for checking what has already been optimized.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | — | Number of sessions to return |
| status | string | — | Filter by session status |
No output schema declared.
No examples provided.
forge_status Check Optimization Status ~40
Check the current status of a running or completed Forge optimization job.
| Name | Type | Req | Description |
|---|---|---|---|
| session_id | string | yes | The session ID returned from forge_optimize or forge_generate |
No output schema declared.
No examples provided.