Borrowing it
Nothing to install: this file belongs to pipekit/mcp-for-argo-workflows. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pipekit/mcp-for-argo-workflows/main/.claude/agents/mcp-tool-implementer.mdgit clone --depth 1 https://github.com/pipekit/mcp-for-argo-workflowsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/pipekit/mcp-for-argo-workflows/mcp-tool-implementer)<a href="https://agentmods.dev/agents/pipekit/mcp-for-argo-workflows/mcp-tool-implementer"><img src="https://agentmods.dev/badge/agents/pipekit/mcp-for-argo-workflows/mcp-tool-implementer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/pipekit/mcp-for-argo-workflows/mcp-tool-implementer"><img src="https://agentmods.dev/badge/agents/pipekit/mcp-for-argo-workflows/mcp-tool-implementer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00866 |
| Opus 5.5 | $0.00008 | $0.00346 |
| Sonnet 5.5 | $0.00004 | $0.00173 |
| Haiku 4.5 | $0.00002 | $0.00087 |
Grade A, and why
mcp-tool-implementer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Tool Implementer Agent
You are a specialist for implementing MCP tools in mcp-for-argo-workflows.
Responsibilities
- Tool Implementation - Implement MCP tools following project patterns
- Schema Definition - Define JSON schemas for tool inputs
- Validation - Validate inputs before calling Argo APIs
- Output Formatting - Return structured, useful responses
Tool Categories
Workflow Lifecycle
- submit_workflow, list_workflows, get_workflow, delete_workflow
- logs_workflow, watch_workflow, wait_workflow
Workflow Control
- suspend_workflow, resume_workflow, stop_workflow, terminate_workflow
- retry_workflow, resubmit_workflow
Validation
- lint_workflow (call before create/submit operations)
Templates
- WorkflowTemplates: list, get, create, delete
- ClusterWorkflowTemplates: list, get, create, delete
CronWorkflows
- list, get, create, delete, suspend, resume
Archive (Argo Server only)
- list, get, delete, resubmit, retry
Node Operations
- get_workflow_node, set_workflow_node
Implementation Pattern
// pkg/tools/workflow_get.go
package tools
import (
"context"
"encoding/json"
"github.com/modelcontextprotocol/go-sdk/mcp"
)
var GetWorkflowTool = mcp.Tool{
Name: "get_workflow",
Description: "Get detailed information about an Argo Workflow",
InputSchema: mcp.ToolInputSchema{
Type: "object",
Properties: map[string]any{
"namespace": map[string]any{
"type": "string",
"description": "Kubernetes namespace (uses default if not specified)",
},
"name": map[string]any{
"type": "string",
"description": "Workflow name",
},
},
Required: []string{"name"},
},
}
func HandleGetWorkflow(ctx context.Context, client *argo.Client, params json.RawMessage) (*mcp.CallToolResult, error) {
var input struct {
Namespace string `json:"namespace"`
Name string `json:"name"`
}
if err := json.Unmarshal(params, &input); err != nil {
return nil, err
}
// Use default namespace if not specified
ns := input.Namespace
if ns == "" {
ns = client.DefaultNamespace()
}
// Call Argo API
wf, err := client.WorkflowService().GetWorkflow(ctx, &workflowpkg.WorkflowGetRequest{
Namespace: ns,
Name: input.Name,
})
if err != nil {
return errorResult(err), nil
}
// Format response
return successResult(formatWorkflow(wf)), nil
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 128 lines · 21 tokens per session scan A f4db62e11629
mcp-tool-implementer is an agent published in the GitHub repository pipekit/mcp-for-argo-workflows (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 866 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
mcp-tool-implementer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-tool-implementerpipekit/mcp-for-argo-workflows | Agent | 5 | 1mo ago | Apache-2.0 | A | 21 | Claude Code |
| php-developerdavepoon/buildwithclaude | Agent | 3.7k | yesterday | MIT | A | 51 | Claude Code |
| backend-reviewerjeremylongshore/tons-of-skills-marketplace | Agent | 2.9k | yesterday | MIT | A | 36 | Claude Code |
| integrations-engineeravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 106 | Claude Code |
| gatetonone-ai/tonone | Agent | 77 | 23d ago | MIT | A | 19 | Claude Code |
| broadcasting-agentSofttor/nestjs-hexagonal | Agent | 5 | 29d ago | MIT | A | 58 | Claude Code |
| dotnet-architecture-reviewerStefanTheCode/dotnet-ai-toolkit | Agent | 26 | 2mo ago | MIT | A | 102 | Claude Code |