io.github.RightNow-AI/forge-mcp-server
NPM · @RIGHTNOW/FORGE-MCP-SERVER · SCANNED SEP 24
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 34 of 106 dependencies flagged as unhealthy. 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 236 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability85
- 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 Management87
- Stability observed for 26 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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 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
How do I install the io.github.RightNow-AI/forge-mcp-server server?
io.github.RightNow-AI/forge-mcp-server runs locally as an npm package, launched with npx -y @rightnow/forge-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @rightnow/forge-mcp-server
claude mcp add rightnow-ai-forge-mcp-server -- npx -y @rightnow/forge-mcp-server
{
"mcpServers": {
"rightnow-ai-forge-mcp-server": {
"command": "npx",
"args": [
"-y",
"@rightnow/forge-mcp-server"
]
}
}
} {
"servers": {
"rightnow-ai-forge-mcp-server": {
"command": "npx",
"args": [
"-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": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@rightnow/forge-mcp-server"
]
}
}
} assistant mcp add rightnow-ai-forge-mcp-server -t stdio -c npx -a -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.
- 23 Sept 26 −2
- Stability: pass → 0.83 functional
- 22 Sept 26 0
- Stability: 0.97 → pass security
- 21 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 −3
- Stability: pass → 0.80 functional
- 15 Sept 26 0
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
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 Sept 2026 · Analysed npm/@rightnow/forge-mcp-server@1.0.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 106 packages
| Packages resolved | 106 |
|---|---|
| Stale | 34 |
| 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 →
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.
What is the io.github.RightNow-AI/forge-mcp-server server?
io.github.RightNow-AI/forge-mcp-server is listed in the public MCP registry as io.github.RightNow-AI/forge-mcp-server. Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup. This page covers its npm package (@rightnow/forge-mcp-server).
Is the io.github.RightNow-AI/forge-mcp-server server safe to use?
io.github.RightNow-AI/forge-mcp-server scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 24 September 2026. 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 io.github.RightNow-AI/forge-mcp-server server expose?
io.github.RightNow-AI/forge-mcp-server exposes 7 tools: forge_auth, forge_credits, forge_optimize, forge_generate, forge_status, and 2 more. Their descriptions and schemas cost roughly 861 tokens of context every time the server is loaded.
Is the io.github.RightNow-AI/forge-mcp-server server still maintained?
io.github.RightNow-AI/forge-mcp-server is still listed as active in the MCP registry. We last reached this channel on 24 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.RightNow-AI/forge-mcp-server server under?
io.github.RightNow-AI/forge-mcp-server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.