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Free
Nothing to run from here
S2t Mcp Accelerators is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
Open Installation—
p95 latency
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call success
local
runs on your machine
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calls last 7d
What it does
MCP server with 36 enterprise tools: vector embeddings, CloudFormation/DynamoDB generation, OAuth/IAM/MFA validation, error analysis, data lake readiness, agent orchestration, resilience patterns, stakeholder interviews, and 12 ACI governance tools for AI
Quickstart
# 1 — run it from where its publisher ships it
npx -y s2t-mcp-accelerators
# 2 — ask your agent something
> MCP server with 36 enterprise tools: vector embeddings, CloudFormation/DynamoDB generation, OAuth/IAM/MFA validation, error analysis, data
S2t Mcp Accelerators is free: there is no plan to choose, no cap to set and nothing that can bill you.
Publishernot claimed
STAll 1 server
s2tconsulting1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts S2t Mcp Accelerators as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. It is scanned, signed and pinned to the version you choose — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. Claude Code registers it in one command.
claude mcp add s2t-mcp-accelerators -- npx -y s2t-mcp-acceleratorsReconnect, or start a new session, and the tools appear in the model’s tool list.
Free to install, and it runs from its publisher’s own package: no account, no key, no card.
What it asks of you
It reaches a system of yours, so it needs your own credential rather than the publisher’s: S2T_API_KEY. You set it after installing; the value is sealed here and sent to the server on each call.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
36 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Generate vector embeddings for text using Amazon Bedrock Titan models. Supports automatic chunking for long documents. Use when building RAG pipelines, semantic search, document similarity, or knowledge base indexing. Returns embedding vectors with chunk metadata.
Takes no parameters.
Example callreturns →
Generate production-ready SAM or CloudFormation templates from natural language descriptions. Creates Lambda functions, API Gateway, DynamoDB tables, and S3 buckets with security best practices.
Takes no parameters.
Example callreturns →
Validate an OAuth 2.0 configuration and detect common misconfigurations before deployment. Supports Google, Microsoft, GitHub, QuickBooks, and generic OpenID Connect providers.
Takes no parameters.
Example callreturns →
Validate an AWS IAM policy document for security best practices. Detects overly permissive permissions, dangerous action wildcards, and missing resource scoping. Returns security score (0-100) with categorized findings.
Takes no parameters.
Example callreturns →
Validate IAM users and root account for MFA compliance. Checks console access, programmatic access, hardware vs virtual MFA, and policy-level MFA conditions.
Takes no parameters.
Example callreturns →
Generate optimal DynamoDB single-table designs from entity and access pattern descriptions. Returns key schema, GSI recommendations, entity mappings, and deployable CloudFormation template.
Takes no parameters.
Example callreturns →
Analyze application error logs to identify recurring patterns, root causes, and trends. Returns categorized patterns with severity and remediation suggestions.
Takes no parameters.
Example callreturns →
Assess data lake architecture readiness for production deployment. Evaluates S3 storage, Glue catalog, security controls, query performance, and operational tooling. Returns readiness score (0-100).
Takes no parameters.
Example callreturns →
Classify an action's risk level as LOW, MEDIUM, HIGH, or CRITICAL based on blast radius, reversibility, and target environment. Use for AI agent safety guardrails and graduated autonomy.
Takes no parameters.
Example callreturns →
Route a task to the optimal AI agent using semantic similarity matching against 54 specialized agent domains. Returns ranked agent candidates with confidence scores.
Takes no parameters.
Example callreturns →
Predict upcoming system issues by analyzing budget trends, error rates, dependency health, and certificate expiry. Returns prioritized predictions with severity and recommended actions.
Takes no parameters.
Example callreturns →
Match an error against known patterns and suggest automated recovery steps. Returns matched patterns with historical success rates and step-by-step recovery instructions.
Takes no parameters.
Example callreturns →
Configure resilience patterns (retry with exponential backoff, circuit breaker) for an operation. Returns execution configuration with retry metrics and circuit breaker state.
Takes no parameters.
Example callreturns →
Store, retrieve, search, or delete persistent agent memory with namespace isolation. Use for maintaining agent state across sessions or sharing context between agents.
Takes no parameters.
Example callreturns →
Submit a task to the SQS FIFO queue for asynchronous multi-agent execution. Returns task ID and queue position for tracking.
Takes no parameters.
Example callreturns →
Generate W3C Trace Context identifiers (traceparent + tracestate) for distributed tracing across multi-agent workflows. Returns W3C-compliant trace headers.
Takes no parameters.
Example callreturns →
Acquire, release, or check file-based mutex locks with stale lock detection. Use to prevent concurrent file access conflicts in multi-agent environments.
Takes no parameters.
Example callreturns →
Validate CLI tool availability and API key health on the current system. Returns readiness status per tool with degradation mode recommendations.
Takes no parameters.
Example callreturns →
List all available S2T accelerators with their capabilities, pricing tiers, and current usage information. Use to discover available tools or review pricing.
Takes no parameters.
Example callreturns →
Get your current API usage statistics and remaining quota for the billing period. Returns requests made, tokens used, remaining quota, and current tier.
Takes no parameters.
Example callreturns →
Classify an AI agent action as APPROVE, ESCALATE, or BLOCK. Use before any agent action affecting production, finances, or compliance. Returns classification with confidence score.
Takes no parameters.
Example callreturns →
Estimate financial impact of an action and determine if it passes budget gates. Returns cost breakdown, budget impact analysis, and APPROVE/ESCALATE/BLOCK decision.
Takes no parameters.
Example callreturns →
Evaluate an action against compliance frameworks (SOC2, GDPR, HIPAA, PCI-DSS). Returns framework-specific violations, warnings, and remediation steps.
Takes no parameters.
Example callreturns →
Route a governance task to the appropriate domain expert agent(s) with sensitivity tagging and parallel review recommendations.
Takes no parameters.
Example callreturns →
Initiate parallel governance review across multiple domain agents (security, financial, legal, ops, compliance, data). Returns session ID for tracking.
Takes no parameters.
Example callreturns →
Collect and synthesize results from a parallel governance review session. Produces a unified APPROVE/ESCALATE/BLOCK decision from individual reviewer assessments.
Takes no parameters.
Example callreturns →
Record a governance decision in the append-only audit log. Use for manual human approvals or out-of-band escalations. Returns decision ID and timestamp.
Takes no parameters.
Example callreturns →
Semantic search over past governance decisions to find similar precedents. Returns top-K precedents with similarity scores and outcomes.
Takes no parameters.
Example callreturns →
Record the actual outcome of a previously classified governance decision. Feeds the calibration loop to improve future classification accuracy.
Takes no parameters.
Example callreturns →
Estimate the blast radius of a proposed action -- affected systems, users, data records, cascade depth, and recovery time.
Takes no parameters.
Example callreturns →
Generate a step-by-step rollback plan for a proposed action. Use before approving high-risk operations. Returns commands, durations, and prerequisites.
Takes no parameters.
Example callreturns →
Get aggregate governance health metrics. Returns classification distribution, calibration accuracy, false positive/negative rates, and overall health score.
Takes no parameters.
Example callreturns →
Create a stakeholder interview session for S2T process discovery. Returns a session token for conducting the interview. Local tool -- no API key charges.
Takes no parameters.
Example callreturns →
Send a message in an active interview session and receive the next adaptive question. Local tool -- no API key charges.
Takes no parameters.
Example callreturns →
Generate an AI summary from an interview session's transcript. Includes key findings, pain points, time/cost estimates, and prioritized recommendations. Local tool -- no API key charges.
Takes no parameters.
Example callreturns →
List all interview sessions with optional status filter. Returns session metadata including customer name, stakeholder, and creation time. Local tool -- no API key charges.
Takes no parameters.
Example callreturns →
Freeyour plan
$0 forever
- Every tool, no call limit
- No card, no account needed
- Source published under a licence you can read
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because nothing bills
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable. S2t Mcp Accelerators costs nothing to install and nothing to call, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
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Alert at 80% · then the tool returns a normal MCP error
Used this month: $8.42
$16.58 left
ATrust score 96 / 100
Release 1.4.3 · scanned 25 Aug 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score96
Findings0 threat · 0 capability
Capabilitymoderate
Coveragesource
Verificationrepo
Surface digesta3b1b9ae5721add16e3d36f3bcd6fbd171d9ed6339a25928451c64e0783f250f
Score vectorthreat 100 → client 96
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (36 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| s2t_embed | no tags | |
| s2t_analyze_error_patterns | no tags | |
| s2t_generate_cloudformation | no tags | |
| s2t_validate_oauth | no tags | |
| s2t_generate_dynamodb_design | no tags | |
| s2t_check_data_lake_readiness | no tags | |
| s2t_validate_iam_policy | no tags | |
| s2t_validate_mfa_compliance | no tags | |
| s2t_validate_cli_readiness | no tags | |
| s2t_catalog | no tags | |
| s2t_usage | no tags | |
| s2t_classify_action_risk | sensitive-source | |
| s2t_route_task_to_agent | no tags | |
| s2t_predict_system_issues | no tags | |
| s2t_attempt_auto_recovery | no tags | |
| s2t_execute_with_resilience | no tags | |
| s2t_manage_agent_memory | no tags | |
| s2t_submit_agent_task | no tags | |
| s2t_create_trace_context | no tags | |
| s2t_acquire_file_lock | no tags | |
| aci_classify_decision | no tags | |
| aci_financial_gate | no tags | |
| aci_compliance_check | no tags | |
| aci_route_domain | no tags | |
| aci_parallel_review | no tags | |
| aci_synthesize_reviews | no tags | |
| aci_log_decision | no tags | |
| aci_recall_precedent | no tags | |
| aci_record_outcome | no tags | |
| aci_estimate_blast_radius | no tags | |
| aci_generate_rollback | no tags | |
| aci_governance_health | no tags | |
| s2t_interview_create | no tags | |
| s2t_interview_message | no tags | |
| s2t_interview_summary | no tags | |
| s2t_interview_list | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digesta3b1b9ae5721add1
Scanned2026-08-25
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Pinned to 1.4.3 — the install command below asks for that release. A pin is part of an install, so it is kept for this visit and written down when you install.
1.4.3
undated
installedNo release note was published with this version.
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no reviews yet
Reviews are earned
Only accounts with at least 50 real tool calls against this server in the last 90 days can post. Ratings are weighted by how much the reviewer actually uses it, and publishers can reply once per review.
Reviews are earned
Writing one takes an account with at least 50 real tool calls against S2t Mcp Accelerators in the last 90 days. That is the whole gate — there is no other way to post, which is why the counts beside each review are worth reading.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes an account with 50 real tool calls against it.