mcp-server-sequential-thinking
Provides a structured sequential thinking tool that breaks down complex problems into manageable steps with branching, revision, and confidence tracking capabilities.
90
/ 100 · Grade A
A = 90–100
“I need to break down complex problems into structured, manageable thinking steps that can be revised and branched as my understanding evolves.”
mcp-server-sequential-thinking earned Certified status with a trust score of 90/100 (Grade A). No adversarial findings — all attack patterns were handled gracefully. Supply chain contains 277 components with 17 known vulnerabilities. Security scan: clean.
Trust Score Breakdown
Eight weighted signals composing the aggregate trust score
Scheme v2.0 · Weights provisional · Consumer confirmations and uptime use pipeline-derived baselines.
Findings
Security scan results, adversarial testing, and pipeline review
Security Scan — Cisco MCP Scanner
Adversarial Testing — 3 categories, 0 findings
No adversarial findings — all attack patterns handled gracefully.
Methodology v1.0 · 3 categories · ~55 attack patterns
OWASP MCP Top 10 Coverage
Evaluation activity mapped to the OWASP MCP Top 10 risk framework
Excessive Agency & Permissions
Cisco scanner behavioral analysis of permission scope
Unauthorized Data Access
Category 3 (data exfiltration) attack patterns
Tool Poisoning
Category 1 (prompt injection) and Category 5 (context poisoning) attack patterns
Supply Chain Vulnerabilities
SBOM generation (syft/cdxgen) and vulnerability scanning (grype/osv-scanner/npm audit)
Command Injection
Category 2 (privilege escalation) and Category 6 (repo config injection) attack patterns
Intent Subversion
Category 1 (prompt injection) and Category 4 (capability squatting) attack patterns
Insecure Data Handling
Cisco scanner data flow and sensitive data handling analysis
Insufficient Logging
Not directly tested — logging adequacy requires runtime observation beyond current pipeline scope
Resource Exhaustion
Resource profiling (CPU, memory) during functional and adversarial testing
Context Injection
Category 5 (context poisoning) attack patterns
OWASP MCP Top 10 (Beta) — owasp.org/www-project-mcp-top-10
Supply Chain
SBOM analysis and vulnerability assessment
Components
277
Direct deps
1
Transitive deps
276
Total vulns
17
Vulnerability breakdown
Format: CycloneDX 1.5 · Generated: Mar 29, 2026
Behavioral Fingerprint
Runtime performance baseline for drift detection
Samples
135
Error rate
0.0%
Peak memory
70.0 MB
Avg CPU
0.10%
Response time distribution
Output size distribution
Per-tool performance
| Tool | p50 | p95 | Error rate | Samples |
|---|---|---|---|---|
| sequentialthinking | 1ms | 2ms | 0.0% | 135 |
Fingerprint v1.0 · Baseline: Mar 29, 2026 · Status: baseline
Interface
Enumerated tools, resources, and prompts
Tools (1)
sequentialthinking
A detailed tool for dynamic and reflective problem-solving through thoughts. This tool helps analyze problems through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - Breaking down complex problems into steps - Planning and design with room for revision - Analysis that might need course correction - Problems where the full scope might not be clear initially - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Generates a solution hypothesis - Verifies the hypothesis based on the Chain of Thought steps - Repeats the process until satisfied - Provides a correct answer Parameters explained: - thought: Your current thinking step, which can include: * Regular analytical steps * Revisions of previous thoughts * Questions about previous decisions * Realizations about needing more analysis * Changes in approach * Hypothesis generation * Hypothesis verification - nextThoughtNeeded: True if you need more thinking, even if at what seemed like the end - thoughtNumber: Current number in sequence (can go beyond initial total if needed) - totalThoughts: Current estimate of thoughts needed (can be adjusted up/down) - isRevision: A boolean indicating if this thought revises previous thinking - revisesThought: If is_revision is true, which thought number is being reconsidered - branchFromThought: If branching, which thought number is the branching point - branchId: Identifier for the current branch (if any) - needsMoreThoughts: If reaching end but realizing more thoughts needed You should: 1. Start with an initial estimate of needed thoughts, but be ready to adjust 2. Feel free to question or revise previous thoughts 3. Don't hesitate to add more thoughts if needed, even at the "end" 4. Express uncertainty when present 5. Mark thoughts that revise previous thinking or branch into new paths 6. Ignore information that is irrelevant to the current step 7. Generate a solution hypothesis when appropriate 8. Verify the hypothesis based on the Chain of Thought steps 9. Repeat the process until satisfied with the solution 10. Provide a single, ideally correct answer as the final output 11. Only set nextThoughtNeeded to false when truly done and a satisfactory answer is reached
Transport: stdio
Scope & Permissions
What this capability can and cannot access — derived from pipeline analysis
no
no
no
yes
no
no
Side effects
Accesses environment variables
Behavioral Guarantees
Claims extracted from publisher documentation — each tagged with provenance
Provides a tool for dynamic and reflective problem-solving through a structured thinking process
authorBreaks down complex problems into manageable steps
authorRevises and refines thoughts as understanding deepens
authorBranches into alternative paths of reasoning
authorAdjusts the total number of thoughts dynamically
authorGenerates and verifies solution hypotheses
authorFacilitates a detailed, step-by-step thinking process for problem-solving and analysis
authorMaintains context over multiple steps
authorFilters out irrelevant information
authorSupports planning and design with room for revision
authorHandles analysis that might need course correction
authorWorks with problems where the full scope might not be clear initially
authorSources: author, protocol
Badge & Integration
Embed certification status in your README, docs, or CI pipeline
Certification Notes
Provenance observations from the pipeline
Publisher "Model Context Protocol a Series of LF Projects, LLC." is not verified — first certification from this publisher
Single contributor — no peer review evidence in commit history
Repository is 11 days old — recently created
Signed Artifact
Certification provenance and verification metadata
Pipeline Artifacts
Raw data files from this certification run — downloadable for independent verification
contract.json
Full unsigned contract
stage1-ingest.json
Ingest stage output
stage2a-sbom.json
SBOM generation results
stage2a-vulns.json
Vulnerability scan results
stage2b-security.json
Security scan results
stage3a-functional.json
Functional test results
stage3b-adversarial.json
Adversarial test results
stage3c-fingerprint.json
Behavioral fingerprint
stage4-certify.json
Certification decision + trust score
stage3a-measurements.json
Raw functional test measurements
stage3b-measurements.json
Raw adversarial test measurements
run-log.json
Pipeline execution log
Not all files may be present for every certification.