# polsolbridge/solana-swap-api

> polsolbridge/solana-swap-api — polsolbridge-solana-swap-api. Use this tool when you need to facilitate non-custodial crypto swaps across multiple blockchain networks, including Solana and 7 EVM chains, with support for over 1288 assets and cross-chain routing. It solves problems related to decentralized asset exchange, liquidity, and transaction efficiency, providing unsigned transactions for secure wallet signing. Ideal for AI agents requiring programmatic access to crypto swap functionality without API keys or KYC requirements.

Canonical page: https://skillsregistry.net/skills/polsolbridge-solana-swap-api  
JSON: https://api.skillsregistry.net/v1/skills/polsolbridge-solana-swap-api

## Description

Non-custodial crypto swaps for AI agents: Solana (Jupiter) + 7
EVM chains (KyberSwap), 1288+ assets, cross-chain routing,
priority-fee oracle, Hyperliquid perps. Returns unsigned
transactions — your wallet signs, no API key, no KYC. Hosted
at https://swaptitan.net/mcp

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n5auyt0j3c)
- **Repository:** <https://github.com/polsolbridge/solana-swap-api>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "polsolbridge-solana-swap-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/polsolbridge-solana-swap-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/polsolbridge-solana-swap-api/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt